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1

Smirnov, Sergey, Matthias Weidlich, Jan Mendling, and Mathias Weske. "Action patterns in business process models." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2009/3358/.

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Business process management experiences a large uptake by the industry, and process models play an important role in the analysis and improvement of processes. While an increasing number of staff becomes involved in actual modeling practice, it is crucial to assure model quality and homogeneity along with providing suitable aids for creating models. In this paper we consider the problem of offering recommendations to the user during the act of modeling. Our key contribution is a concept for defining and identifying so-called action patterns - chunks of actions often appearing together in business processes. In particular, we specify action patterns and demonstrate how they can be identified from existing process model repositories using association rule mining techniques. Action patterns can then be used to suggest additional actions for a process model. Our approach is challenged by applying it to the collection of process models from the SAP Reference Model.
Die zunehmende Bedeutung des Geschäftsprozessmanagements führt dazu, dass eine steigende Anzahl von Mitarbeitern eines Unternehmens mit der Erstellung von Prozessmodellen betraut ist. Um trotz dieser Tendenz die Qualität der Prozessmodelle, sowie ihre Homogenität sicherzustellen, sind entsprechende Modellierungshilfen unabdingbar. In diesem Bericht stellen wir einen Ansatz vor, welcher die Prozessmodellierung durch Empfehlungen unterstützt. Jene basieren auf sogenannten Aktionsmustern, welche typische Arbeitsblöcke darstellen. Neben der Definition dieser Aktionsmuster zeigen wir eine Methode zur Identifikation dieser Muster auf. Mittels Techniken der Assoziationsanalyse können die Muster automatisch aus einer Sammlung von Prozessmodellen extrahiert werden. Die Anwendbarkeit unseres Ansatzes wird durch eine Fallstudie auf Basis des SAP Referenzmodells illustriert.
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2

Kunze, Matthias. "Searching business process models by example." Phd thesis, Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6884/.

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Business processes are fundamental to the operations of a company. Each product manufactured and every service provided is the result of a series of actions that constitute a business process. Business process management is an organizational principle that makes the processes of a company explicit and offers capabilities to implement procedures, control their execution, analyze their performance, and improve them. Therefore, business processes are documented as process models that capture these actions and their execution ordering, and make them accessible to stakeholders. As these models are an essential knowledge asset, they need to be managed effectively. In particular, the discovery and reuse of existing knowledge becomes challenging in the light of companies maintaining hundreds and thousands of process models. In practice, searching process models has been solved only superficially by means of free-text search of process names and their descriptions. Scientific contributions are limited in their scope, as they either present measures for process similarity or elaborate on query languages to search for particular aspects. However, they fall short in addressing efficient search, the presentation of search results, and the support to reuse discovered models. This thesis presents a novel search method, where a query is expressed by an exemplary business process model that describes the behavior of a possible answer. This method builds upon a formal framework that captures and compares the behavior of process models by the execution ordering of actions. The framework contributes a conceptual notion of behavioral distance that quantifies commonalities and differences of a pair of process models, and enables process model search. Based on behavioral distances, a set of measures is proposed that evaluate the quality of a particular search result to guide the user in assessing the returned matches. A projection of behavioral aspects to a process model enables highlighting relevant fragments that led to a match and facilitates its reuse. The thesis further elaborates on two search techniques that provide concrete behavioral distance functions as an instantiation of the formal framework. Querying enables search with a notion of behavioral inclusion with regard to the query. In contrast, similarity search obtains process models that are similar to a query, even if the query is not precisely matched. For both techniques, indexes are presented that enable efficient search. Methods to evaluate the quality and performance of process model search are introduced and applied to the techniques of this thesis. They show good results with regard to human assessment and scalability in a practical setting.
Geschäftsprozesse bilden die Grundlage eines jeden Unternehmens, da jedes Produkt und jede Dienstleistung das Ergebnis einer Reihe von Arbeitsschritten sind, deren Ablauf einen Geschäftsprozess darstellen. Das Geschäftsprozessmanagement rückt diese Prozesse ins Zentrum der Betrachtung und stellt Methoden bereit, um Prozesse umzusetzen, abzuwickeln und, basierend auf einer Auswertung ihrer Ausführung, zu verbessern. Zu diesem Zweck werden Geschäftsprozesse in Form von Prozessmodellen dokumentiert, welche die auszuführenden Arbeitsschritte und ihre Ausführungsbeziehungen erfassen und damit eine wesentliche Grundlage des Geschäftsprozessmanagements bilden. Um dieses Wissen verwerten zu können, muss es gut organisiert und leicht auffindbar sein – eine schwierige Aufgabe angesichts hunderter bzw. tausender Prozessmodelle, welche moderne Unternehmen unterhalten. In der Praxis haben sich bisher lediglich einfache Suchmethoden etabliert, zum Beispiel Freitextsuche in Prozessbeschreibungen. Wissenschaftliche Ansätze hingegen betrachten Ähnlichkeitsmaße und Anfragesprachen für Prozessmodelle, vernachlässigen dabei aber Maßnahmen zur effizienten Suche, sowie die verständliche Wiedergabe eines Suchergebnisses und Hilfestellungen für dessen Verwendung. Diese Dissertation stellt einen neuen Ansatz für die Prozessmodellsuche vor, wobei statt einer Anfragesprache Prozessmodelle zur Formulierung einer Anfrage verwendet werden, welche exemplarisch das Verhalten der gesuchten Prozesse beschreiben. Dieser Ansatz fußt auf einem formalen Framework, welches ein konzeptionelles Distanzmaß zur Bewertung gemeinsamen Verhaltens zweier Geschäftsprozesse definiert und die Grundlage zur Suche bildet. Darauf aufbauend werden Qualitätsmaße vorgestellt, die einem Benutzer bei der Bewertung von Suchergebnissen behilflich sind. Verhaltensausschnitte, die zur Aufnahme in das Suchergebnis geführt haben, können im Prozessmodell hervorgehoben werden. Die Arbeit führt zwei Suchtechniken ein, die konkrete Distanzmaße einsetzen, um Prozesse zu suchen, die das Verhalten einer Anfrage exakt enthalten (Querying), oder diesem in Bezug auf das Verhalten ähnlich sind (Similarity Search). Für beide Techniken werden Indexstrukturen vorgestellt, die effizientes Suchen ermöglichen. Abschließend werden allgemeine Methoden zur Evaluierung von Prozessmodellsuchansätzen vorgestellt, mit welchen die genannten Suchtechniken überprüft werden. Im Ergebnis zeigen diese eine hohe Qualität der Suchergebnisse hinsichtlich einer Vergleichsstudie mit Prozessexperten, sowie gute Skalierbarkeit für große Prozessmodellsammlungen.
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3

Di, Francescomarino Chiara. "Semantic annotation of business process models." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/367849.

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In the last decades, business process models have increasingly been used by companies with different purposes, such as documenting enacted processes or enabling and improving the communication among stakeholders (e.g., designers and implementers). Aside from the differences, all the roles played by process models involve human actors (e.g., business designers, business analysts, re-engineers) and hence demand for readability and ease of use, beyond correctness and reasonable completeness. It often happens, however, that process models are large and intricate, thus resulting potentially difficult to understand and to manage. In this thesis we propose some techniques aimed at supporting business designers and analysts in the management of business process models. The core of the proposal is the enrichment of process models with semantic annotations from domain ontologies and the formalization of both structural and domain information in a shared knowledge base, thus opening to the possibility of exploiting reasoning for supporting business experts in their work. In detail, this thesis investigates some of the services that can be provided on top of the process semantic annotation, as for example, the automatic verification of process constraints, the automated querying of process models or the semi-automatic mining, documentation and modularization of crosscutting concerns. Moreover, special care is devoted to support designers and analysts when process models are not available or they have to be semantically annotated. Specifically, an approach for recovering process models from (Web) applications and some metrics for evaluating the understandability of the recovered models are investigated. Techniques for suggesting candidate semantic annotations are also proposed. The results obtained by applying the presented techniques have been validated by means of case studies, performance evaluations and empirical investigations.
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4

Di, Francescomarino Chiara. "Semantic annotation of business process models." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/547/1/DiFrancescomarino_Chiara.pdf.

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In the last decades, business process models have increasingly been used by companies with different purposes, such as documenting enacted processes or enabling and improving the communication among stakeholders (e.g., designers and implementers). Aside from the differences, all the roles played by process models involve human actors (e.g., business designers, business analysts, re-engineers) and hence demand for readability and ease of use, beyond correctness and reasonable completeness. It often happens, however, that process models are large and intricate, thus resulting potentially difficult to understand and to manage. In this thesis we propose some techniques aimed at supporting business designers and analysts in the management of business process models. The core of the proposal is the enrichment of process models with semantic annotations from domain ontologies and the formalization of both structural and domain information in a shared knowledge base, thus opening to the possibility of exploiting reasoning for supporting business experts in their work. In detail, this thesis investigates some of the services that can be provided on top of the process semantic annotation, as for example, the automatic verification of process constraints, the automated querying of process models or the semi-automatic mining, documentation and modularization of crosscutting concerns. Moreover, special care is devoted to support designers and analysts when process models are not available or they have to be semantically annotated. Specifically, an approach for recovering process models from (Web) applications and some metrics for evaluating the understandability of the recovered models are investigated. Techniques for suggesting candidate semantic annotations are also proposed. The results obtained by applying the presented techniques have been validated by means of case studies, performance evaluations and empirical investigations.
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5

Figl, Kathrin. "Comprehension of Procedural Visual Business Process Models." Springer, 2017. http://dx.doi.org/10.1007/s12599-016-0460-2.

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Visual process models are meant to facilitate comprehension of business processes. However, in practice, process models can be difficult to understand. The main goal of this article is to clarify the sources of cognitive effort in comprehending process models. The article undertakes a comprehensive descriptive review of empirical and theoretical work in order to categorize and summarize systematically existing findings on the factors that influence comprehension of visual process models. Methodologically, the article builds on a review of forty empirical studies that measure objective comprehension of process models, seven studies that measure subjective comprehension and user preferences, and thirty-two articles that discuss the factors that influence the comprehension of process models. The article provides information systems researchers with an overview of the empirical state of the art of process model comprehension and provides recommendations for new research questions to be addressed and methods to be used in future experiments.
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6

Redlich, David. "Descriptive business process models at run-time." Thesis, Lancaster University, 2018. http://eprints.lancs.ac.uk/124261/.

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Today's competitive markets require organisations to react proactively to changes in their environment if financial and legal consequences are to be avoided. Since business processes are elementary parts of modern organisations they are also required to efficiently adapt to these changes in quick and flexible ways. This requirement demands a more dynamic handling of business processes, i.e. treating business processes as run-time artefacts rather than design-time artefacts. One general approach to address this problem is provided by the community of models@run.time, which promotes methodologies concerned with self-adaptive systems where models reflect the system's current state at any point in time and allow immediate reasoning and adaptation mechanisms. However, in contrast to common self-adaptive systems the domain of business processes features two additional challenges: (i) a bigger than usual abstraction gap between the business process models and the actual run-time information of the enterprise system and (ii) the possibility of run-time deviations from the planned models. Developing an understanding of such processes is a crucial necessity in order to optimise business processes and dynamically adapt to changing demands. This thesis explores the potential of adopting and enhancing principles and mechanisms from the models@run.time domain to the business process domain for the purpose of run-time reasoning, i.e. investigating the potential role of Descriptive Business Process Models at Run-time (DBPMRTs) in the business process management domain. The DBPMRT is a model describing the enterprise system at run-time and thus enabling higher-level reasoning on the as-is state. Along with the specification of the DBPMRT, algorithms and an overall framework are proposed to establish and maintain a causal link from the enterprise system to the DBPMRT at run-time. Furthermore, it is shown that proactive higher-level reasoning on a DBPMRT in the form of performance prediction allows for more accurate results. By taking these steps the thesis addresses general challenges of business process management, e.g. dealing with frequently changing processes and shortening the business process life cycle. At the same time this thesis contributes to research in models@run.time by providing a complex real-world use case as well as a reference approach for dealing with volatile models@run.time of a higher abstraction level.
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7

Ayad, Sarah. "Business Process Models Quality : evaluation and improvement." Thesis, Paris, CNAM, 2013. http://www.theses.fr/2013CNAM0922/document.

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La problématique scientifique abordée correspond à la modélisation et à l'amélioration des processus métiers. Ce problème est d'un intérêt croissant pour les entreprises qui prennent conscience de l'impact indéniable que peuvent avoir une meilleure compréhension et une meilleure gestion des processus métiers (PM) sur l'efficacité, la cohérence et la transparence de leurs activités. Le travail envisagé dans le cadre de la thèse vise à proposer une méthode et un outil pour mesurer et améliorer la qualité des modèles de processus métier. L’originalité de l’approche est qu’elle vise non seulement la qualité syntaxique mais aussi la qualité sémantique et pragmatique en s’appuyant notamment sur les connaissances du domaine
In recent years the problems related to modeling and improving business processes have been of growing interest. Indeed, companies are realizing the undeniable impact of a better understanding and management of business processes (BP) on the effectiveness, consistency, and transparency of their business operations. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, inexperienced systems analysts often lack domain knowledge leading and this affects the quality of models they produce.Our approach targets the problem related to business process modeling quality by proposing an approach encompassing methods and tools for business process (BP) models quality measurement and improvement. We propose to support this modeling effort with an approach that uses domain knowledge to improve the semantic quality of BP models.The main contribution of this thesis is fourfold:1. Exploiting the IS domain knowledge: A business process metamodel is identified.Semantics are added to the metamodel by the mean of OCL constraints.2. Exploiting the application domain knowledge. It relies on domain ontologies. Alignment between the concepts of both metamodels is defined and illustrated.3. Designing of the guided quality process encompassing methods and techniques to evaluate and improve the business process models. Our process propose many quality constraints and metrics in order to evaluat the quality of the models and finally the process propose relevant recommendations for improvement.4. Development of a software prototype “BPM-Quality”. Our prototype implements all theabove mentioned artifacts and proposes a workflow enabling its users to evaluate andimprove CMs efficiently and effectively.We conducted a survey to validate the selection of the quality constraints through a first experience and also conducted a second experiment to evaluate the efficacy and efficiency of our overall approach and proposed improvements
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8

Ayad, Sarah. "Business Process Models Quality : evaluation and improvement." Electronic Thesis or Diss., Paris, CNAM, 2013. http://www.theses.fr/2013CNAM0922.

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La problématique scientifique abordée correspond à la modélisation et à l'amélioration des processus métiers. Ce problème est d'un intérêt croissant pour les entreprises qui prennent conscience de l'impact indéniable que peuvent avoir une meilleure compréhension et une meilleure gestion des processus métiers (PM) sur l'efficacité, la cohérence et la transparence de leurs activités. Le travail envisagé dans le cadre de la thèse vise à proposer une méthode et un outil pour mesurer et améliorer la qualité des modèles de processus métier. L’originalité de l’approche est qu’elle vise non seulement la qualité syntaxique mais aussi la qualité sémantique et pragmatique en s’appuyant notamment sur les connaissances du domaine
In recent years the problems related to modeling and improving business processes have been of growing interest. Indeed, companies are realizing the undeniable impact of a better understanding and management of business processes (BP) on the effectiveness, consistency, and transparency of their business operations. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, inexperienced systems analysts often lack domain knowledge leading and this affects the quality of models they produce.Our approach targets the problem related to business process modeling quality by proposing an approach encompassing methods and tools for business process (BP) models quality measurement and improvement. We propose to support this modeling effort with an approach that uses domain knowledge to improve the semantic quality of BP models.The main contribution of this thesis is fourfold:1. Exploiting the IS domain knowledge: A business process metamodel is identified.Semantics are added to the metamodel by the mean of OCL constraints.2. Exploiting the application domain knowledge. It relies on domain ontologies. Alignment between the concepts of both metamodels is defined and illustrated.3. Designing of the guided quality process encompassing methods and techniques to evaluate and improve the business process models. Our process propose many quality constraints and metrics in order to evaluat the quality of the models and finally the process propose relevant recommendations for improvement.4. Development of a software prototype “BPM-Quality”. Our prototype implements all theabove mentioned artifacts and proposes a workflow enabling its users to evaluate andimprove CMs efficiently and effectively.We conducted a survey to validate the selection of the quality constraints through a first experience and also conducted a second experiment to evaluate the efficacy and efficiency of our overall approach and proposed improvements
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Al, Jlailaty Diana. "Mining Business Process Information from Emails Logs for Process Models Discovery." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED028.

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Les informations échangées dans les textes des courriels sont généralement concernées par des événements complexes ou des processus métier dans lesquels les entités qui échangent des courriels collaborent pour atteindre les objectifs finaux des processus. Ainsi, le flux d’informations dans les courriels envoyés et reçus constitue une partie essentielle, les activités métier de l’entreprise. L’extraction d’informations sur les processus métier à partir des courriels peut aider à améliorer la gestion des courriels pour les utilisateurs. Il peut également être utilisé pour trouver des réponses riches à plusieurs questions analytiques sur les employés et les organisations. Aucun des travaux précédents n’a résolu le problème de la transformation automatique des journaux de courriels en journaux d’événements pour éventuellement en déduire les processus métier non documentés. Dans ce but, nous travaillons dans cette thèse sur un framework qui induit des informations de processus métier à partir d’emails. Nous introduisons des approches qui contribuent à ce qui suit : (1) découvrir pour chaque courriel le sujet de processus qui le concerne, (2) découvrir l’instance de processus métier à laquelle appartient chaque courriel, (3) extraire les activités de processus métier des courriels et associer ces activités aux métadonnées qui les décrivent, (4) améliorer la performance de la découverte des instances de processus métier et des activités métier en utilisant la relation entre ces deux problèmes, et enfin (5) estimer au préalable la date/heure réelle d’un activité métier. En utilisant les résultats des approches mentionnées, un journal d’événements est généré qui peut être utilisé pour déduire les modèles de processus métier d’un journal de courriels. L’efficacité de toutes les approches ci-dessus est prouvée par l’application de plusieurs expériences sur l’ensemble de données de courriel ouvert d’Enron
Exchanged information in emails’ texts is usually concerned by complex events or business processes in which the entities exchanging emails are collaborating to achieve the processes’ final goals. Thus, the flow of information in the sent and received emails constitutes an essential part of such processes i.e. the tasks or the business activities. Extracting information about business processes from emails can help in enhancing the email management for users. It can be also used in finding rich answers for several analytical queries about the employees and the organizations enacting these business processes. None of the previous works have fully dealt with the problem of automatically transforming email logs into event logs to eventually deduce the undocumented business processes. Towards this aim, we work in this thesis on a framework that induces business process information from emails. We introduce approaches that contribute in the following: (1) discovering for each email the process topic it is concerned by, (2) finding out the business process instance that each email belongs to, (3) extracting business process activities from emails and associating these activities with metadata describing them, (4) improving the performance of business process instances discovery and business activities discovery from emails by making use of the relation between these two problems, and finally (5) preliminary estimating the real timestamp of a business process activity instead of using the email timestamp. Using the results of the mentioned approaches, an event log is generated which can be used for deducing the business process models of an email log. The efficiency of all of the above approaches is proven by applying several experiments on the open Enron email dataset
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Awad, Ahmed Mahmoud Hany Aly. "A compliance management framework for business process models." Phd thesis, Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4922/.

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Companies develop process models to explicitly describe their business operations. In the same time, business operations, business processes, must adhere to various types of compliance requirements. Regulations, e.g., Sarbanes Oxley Act of 2002, internal policies, best practices are just a few sources of compliance requirements. In some cases, non-adherence to compliance requirements makes the organization subject to legal punishment. In other cases, non-adherence to compliance leads to loss of competitive advantage and thus loss of market share. Unlike the classical domain-independent behavioral correctness of business processes, compliance requirements are domain-specific. Moreover, compliance requirements change over time. New requirements might appear due to change in laws and adoption of new policies. Compliance requirements are offered or enforced by different entities that have different objectives behind these requirements. Finally, compliance requirements might affect different aspects of business processes, e.g., control flow and data flow. As a result, it is infeasible to hard-code compliance checks in tools. Rather, a repeatable process of modeling compliance rules and checking them against business processes automatically is needed. This thesis provides a formal approach to support process design-time compliance checking. Using visual patterns, it is possible to model compliance requirements concerning control flow, data flow and conditional flow rules. Each pattern is mapped into a temporal logic formula. The thesis addresses the problem of consistency checking among various compliance requirements, as they might stem from divergent sources. Also, the thesis contributes to automatically check compliance requirements against process models using model checking. We show that extra domain knowledge, other than expressed in compliance rules, is needed to reach correct decisions. In case of violations, we are able to provide a useful feedback to the user. The feedback is in the form of parts of the process model whose execution causes the violation. In some cases, our approach is capable of providing automated remedy of the violation.
Firmen entwickeln Prozessmodelle um ihre Geschäftstätigkeit explizit zu beschreiben. Geschäftsprozesse müssen verschiedene Arten von Compliance-Anforderungen einhalten. Solche Compliance-Anforderungen entstammen einer Vielzahl von Quellen, z.B. Verordnung wie dem Sarbanes Oxley Act von 2002, interne Richtlinien und Best Practices. Die Nichteinhaltung von Compliance-Anforderungen kann zu gesetzlichen Strafen oder dem Verlust von Wettbewerbsvorteilen und somit dem Verlust von Marktanteilen führen. Im Gegensatz zum klassischen, domänen-unabhängigen Begriff der Korrektheit von Geschäftsprozessen, sind Compliance-Anforderungen domain-spezifisch und ändern sich im Laufe der Zeit. Neue Anforderungen resultieren aus neuen Gesetzen und der Einführung neuer Unternehmensrichtlinien. Aufgrund der Vielzahl der Quellen für Compliance-Anforderungen, können sie unterschiedliche Ziele verfolgen und somit widersprüchliche Aussagen treffen. Schließlich betreffen Compliance-Anforderungen verschiedene Aspekte von Geschäftsprozessen, wie Kontrollfluss- und Datenabhängigkeiten. Auf Grund dessen können Compliance-Prüfungen nicht direkt Hard-coded werden. Vielmehr ist ein Prozess der wiederholten Modellierung von Compliance-Regeln und ihrer anschließenden automatischen Prüfung gegen die Geschäftsprozesse nötig. Diese Dissertation stellt einen formalen Ansatz zur Überprüfung der Einhaltung von Compliance-Regeln während der Spezifikation von Geschäftsprozessen vor. Mit visuellen Mustern ist es möglich, Compliance-Regeln hinsichtlich Kontrollfluss- und Datenabhängigkeiten sowie bedingte Regeln zu spezifizieren. Jedes Muster wird in eine Formel der temporalen Logik abgebildet. Die Dissertation behandelt das Problem der Konsistenzprüfung zwischen verschiedenen Compliance-Anforderungen, wie sie sich aus unterschiedlichen Quellen ergeben können. Ebenfalls zeigt diese Dissertation, wie Compliance-Regeln gegen die Geschäftsprozesse automatisch mittels Model Checking geprüft werden. Es wird aufgezeigt, dass zusätzliche Domänen-Kenntnisse notwendig sind, um richtige Entscheidungen zu treffen. Der vorgestelle Ansatz ermöglicht nützliches Feedback für Modellierer im Fall eines Compliance-Verstoßes. Das Feedback wird in Form von Teilen des Prozessmodells gegeben, deren Ausführung die Verletzung verursacht. In einigen Fällen ist der vorgestellte Ansatz in der Lage, den Compliance-Verstoß automatisch zu beheben.
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Figl, Kathrin, and Mark Strembeck. "Findings from an Experiment on Flow Direction of Business Process Models." Gesellschaft für Informatik e.V, 2015. https://dl.gi.de/handle/20.500.12116/2037.

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A core aspect of diagrammatic process modeling is the visualization of the logical and temporal order in which tasks are to be performed in a process. While conventions and guidelines exist that promote modeling processes from left-to-right or from top-to-bottom, no empirically validated design rationale can be provided for this choice so far. Therefore, this paper seeks to determine whether some flow directions are better than others from a cognitive point of view. We present the results of a controlled pilot experiment comparing the effects of four flow directions (left-to-right, right-to-left, top-to-bottom, bottom-to-top) on process model comprehension with a small sample size of 44 participants. Although there is a variety of theoretical arguments which support the use of a left-to-right flow direction as convention for process models, the preliminary empirical results of the pilot experiment were less clear-cut and showed that model readers also adapted well to uncommon reading directions.
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Wang, Jiannan. "A Logic-Based Methodology for Business Process Analysis and Design: Linking Business Policies to Workflow Models." Diss., The University of Arizona, 2006. http://hdl.handle.net/10150/195093.

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Today, organizations often need to modify their business processes to cope with changes in the environment, such as mergers/acquisitions, new government regulations, and new customer demand. Most organizations also have a set of business policies defining the way they conduct their business. Although there has been extensive research on process analysis and design, how to systematically extract workflow models from business policies has not been studied, resulting in a missing link between the specification of business policies and the modeling of business processes.Given that process changes are often determined by executives and managers at the policy level, the aforementioned missing link often leads to inefficient and inaccurate implementation of process changes by business analysts and process designers. We refer to this problem as the policy mismatch problem in business process management. For organizations with large-scale business processes and a large number of business policies, solving the policy mismatch problem is very difficult and challenging.In this dissertation, we attempt to provide a formal link between business policies and workflow models by proposing a logic-based methodology for process analysis and design. In particular, we first propose a Policy-driven Process Design (PPD) methodology to formalize the procedure of extracting workflow models from business policies. In PPD, narrative process policies are parsed into precise information on various workflow components, and a set of process design rules and algorithms are applied to generate workflow models from that information.We also develop a logic-based process modeling language named Unified Predicate Language (UPL). UPL is able to represent all workflow components in a single logic format and provides analytical capability via logic inference and query. We demonstrate UPL's expressive power and analytical ability by applying it to process design and process change analysis. In particular, we use UPL to define and classify process change anomalies and develop algorithms to verify and enforce process consistency.The Policy-driven Process Design, Unified Predicate Language, and process change analysis approach found in this dissertation contribute to business process management research by providing a formal methodology for resolving the policy mismatch problem.
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Argyropoulos, Nikolaos. "Designing secure business processes from organisational goal models." Thesis, University of Brighton, 2018. https://research.brighton.ac.uk/en/studentTheses/6aca6ecc-0073-48dd-a781-6cb66de28272.

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Business processes are essential instruments used for the coordination of organisational activities in order to produce value in the form of products and services. Information security is an important non-functional characteristic of business processes due to the involvement of sensitive data exchanged between their participants. Therefore, potential security shortfalls can severely impact organisational reputation, customer trust and cause compliance issues. Nevertheless, despite its importance, security is often considered as a technical concern and treated as an afterthought during the design of information systems and the business processes which they support. The consideration of security during the early design stages of information systems is highly beneficial. Goal-oriented security requirements engineering approaches can contribute to the early elicitation of system requirements at a high level of abstraction and capture the organisational context and rationale behind design choices. Aligning such requirements with process activities at the operational level augments the traceability between system models of different abstraction levels and leads to more robust and context-aware operationalisations of security. Therefore, there needs to be a well-defined and verifiable interconnection between a system’s security requirements and its business process models. This work introduces a framework for the design of secure business process models. It uses security-oriented goal models as its starting point to capture a socio-technical view of the system to-be and its security requirements during its early design stages. Concept mappings and model transformation rules are also introduced as a structured way of extracting business process skeletons from such goal models, in order to facilitate the alignment between the two different levels of abstraction. The extracted business process skeletons, are refined to complete business process models through the use of a set of security patterns, which standardise proven solutions to recurring security problems. Finally, the framework also offers security verification capabilities of the produced process models through the introduction of security-related attributes and model checking algorithms. Evaluation of this work is performed: (i) through individual evaluation of its components via their application in real-life systems, (ii) a workshop-based modelling exercise where participants used and evaluated parts of the framework and (iii) a case study from the public administration domain where the overall framework was applied in cooperation with stakeholders of the studied system. The evaluation indicated that the developed framework provides a structured approach which supports stakeholders in designing and evaluating secure business process models.
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14

Gurbuz, Ozge. "An Automated Quality Measurement Approach For Business Process Models." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613665/index.pdf.

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Business process modeling has become a common need for organizations. Therefore process quality is also having an important role for the organizations. The most of the quality studies are based on cost and time which can be analyzed during or after the execution of the business processes. There are also quality measures which help analyzing measures before the execution of the business processes. This type of measures can give early feedback about the processes. There are three frameworks defined in the literature for a more comprehensive measurement. One of the frameworks is adapted from software programs and it aims to enable process design to be less error-prone, understandable and maintainable. The second framework is adapted from object-oriented software designs and it provides object-oriented view to the design of the business process. The last framework is adapted from ISO/IEC Software Product Quality enabling to measure the quality of process itself rather than the design. By conducting a case study, the measures defined in the frameworks are explored in terms of applicability, automation potential and required time and effort on a set of business process model. As a result of this study it is observed that measurement takes time and requires effort and is always error-prone. Therefore, an approach is implemented by automating the measures which have automation potential, in order to decrease the required time and effort and also to increase the accuracy of the measurement. The second case study is then conducted on a set of another business process models in order to validate the approach.
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15

Mendling, Jan, Laura Sanchez-Gonzalez, Felix Garcia, and Rosa Marcello La. "Thresholds for Error Probability Measures of Business Process Models." Elsevier, 2012. http://epub.wu.ac.at/3498/1/JSS12%2DMetrics.pdf.

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The quality of conceptual business process models is highly relevant for the design of corresponding information systems. In particular, a precise measurement of model characteristics can be beneficial from a business perspective, helping to save costs thanks to early error detection. This is just as true from a software engineering point of view. In this latter case, models facilitate stakeholder communication and software system design. Research has investigated several proposals as regards measures for business process models, from a rather correlational perspective. This is helpful for understanding, for example size and complexity as general driving forces of error probability. Yet, design decisions usually have to build on thresholds, which can reliably indicate that a certain counter-action has to be taken. This cannot be achieved only by providing measures; it requires a systematic identification of effective and meaningful thresholds. In this paper, we derive thresholds for a set of structural measures for predicting errors in conceptual process models. To this end, we use a collection of 2,000 business process models from practice as a means of determining thresholds, applying an adaptation of the ROC curves method. Furthermore, an extensive validation of the derived thresholds was conducted by using 429 EPC models from an Australian financial institution. Finally, significant thresholds were adapted to refine existing modeling guidelines in a quantitative way.
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16

Kopp, A. M., and D. L. Orlovskyi. "An approach to measure similarity of business process models." Thesis, Institute for Applied System Analysis, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36874.

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At higher levels of BPM (Business Process Management) maturity, organizations tend to accumulate considerable amounts of business process models [1]. Thus, business process model repositories may contain hundreds or even thousands models, represented using various modeling notations [2]. Since business process modeling technique is used by organizations to describe knowledge about their activities, the problem of store, share, and reuse of organizational knowledge, represented using business process models, becomes relevant. In this paper a similarity measure, used to retrieve business process models from a repository in order to their further reuse in a business process continuous improvement cycle according to BPM concept, is proposed. The problem of similar business process models retrieving has been earlier considered in studies [1, 3, 4], which propose several measures, based on label similarity, structural similarity, behavioral similarity etc.
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17

Nailer, Christopher Hylton Fitzroy. "Business models evolving to realise value : a process perspective." Phd thesis, Canberra, ACT : The Australian National University, 2015. http://hdl.handle.net/1885/151397.

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18

Hachicha, Belghith Emna. "Supporting cloud resource allocation in configurable business process models." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL007/document.

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Les organisations adoptent de plus en plus les Systèmes (PAIS) pour gérer leurs processus métiers basés sur les services en utilisant les modèles de processus appelés «modèles de processus métiers». Motivés par l’adaptation aux exigences commerciales et par la réduction des coûts de maintenance, les organisations externalisent leurs processus dans le Cloud Computing. Selon l'Institut NIST, Cloud Computing est un modèle qui permet aux fournisseurs de partager leurs ressources et aux utilisateurs d’y accéder de manière pratique et à la demande. Dans un tel environnement multi-tenant, l'utilisation de modèles de processus configurables permet aux fournisseurs de processus Cloud de fournir un processus personnalisable qui peut être configuré par différents tenants en fonction de leurs besoins.Un processus métier peut être spécifié par plusieurs perspectives tel que la perspective de flux de contrôle, la perspective des ressources, etc. Plusieurs approches ont été proposées au niveau des premières perspectives, notamment le flux de contrôle. Cependant, la perspective ressource, qui est d'une importance égale, était négligée et pas explicitement définie. D’un côté, la gestion de la perspective ressource spécifiquement l’allocation des ressources Cloud est un thème d’actualité qui implique plusieurs recherches. La modélisation et la configuration des ressources sont une tâche sensible nécessitant un travail intensif. Malgré l’existence de différentes approches, elles traitent principalement les ressources humaines plutôt que des ressources Cloud. D’un autre côté, malgré le fait que le concept des modèles de processus configurables est très complémentaire au Cloud, la manière dont comment les ressources sont configurées et intégrées est à peine manipulée. Les approches proposées travaillant sur l’extension de la configuration de ressources, ne couvrent pas les propriétés Cloud notamment l’élasticité et le partage.Pour répondre à ces lacunes, nous proposons une approche pour supporter la modélisation et la configuration de l’allocation des ressources Cloud dans les modèles de processus configurables. Nous visons à (1) définir une description unifiée et formelle pour la perspective ressource, (2) assurer une allocation de ressource correcte, sans conflits et optimisée, (3) Aider les fournisseurs de processus à concevoir leur allocation de ressources configurable de manière fine afin d'éviter des résultats complexes et importants, et (4) Optimiser la sélection des ressources Cloud par rapport aux exigences liées aux propriétés Cloud (élasticité et partage) et propriétés QoS.Pour ce faire, nous proposons d'abord un cadre sémantique pour une description de ressources sémantiquement enrichies dans les processus métiers visant à formaliser les ressources Cloud consommées à l'aide d'une base de connaissances partagée. Ensuite, nous nous basons sur les processus métiers sociales pour fournir des stratégies afin d'assurer une allocation de ressources contrôlée sans conflits en termes de ressources. Par la suite, nous proposons une nouvelle approche qui étend les modèles de processus configurables pour permettre une allocation de ressources Cloud configurable. Notre objectif est de déplacer l'allocation de ressources Cloud du côté des tenants vers le côté du fournisseur de processus Cloud pour une gestion centralisée des ressources. Après, nous proposons des approches génétiques qui visent à choisir une configuration optimale des ressources d'une manière efficace sur le plan énergétique en améliorant les propriétés QoS.Afin de montrer l'efficacité de nos propositions, nous avons développé concrètement (1) une série de preuves de concepts, en tant que partie de validation, pour aider à concevoir des modèles de processus et remplir une base de connaissances de modèles de processus hétérogènes avec des ressources Cloud et (2) ont effectué des expériences sur des modèles de processus réels à partir de grands ensembles de données
Organizations are recently more and more adopting Process-Aware Information Systems (PAIS) for managing their service-based processes using process models referred to as business process models. Motivated by adapting to the rapid changing business requirements and reducing maintenance costs, organizations are outsourcing their processes in an important infrastructure which is Cloud Computing. According to the NIST Institute, Cloud Computing is a model that enables providers sharing their computing resources (e.g., networks, applications, and storage) and users accessing them in convenient and on-demand way with a minimal management effort. In such a multi-tenant environment, using configurable process models allows a Cloud process provider to deliver a customizable process that can be configured by different tenants according to their needs.A business process could be specified from various perspectives such as the control-flow perspective, the organizational perspective, the resource perspective, etc. Several approaches have been correctly proposed at the level of the first perspectives, in particular the control-flow, i.e., the temporal ordering of the process activities. Nevertheless, the resource perspective, which is of equal importance, has been neglected and poorly operated. The management of the resource perspective especially the Cloud resource allocation in business processes is a current interesting topic that increasingly involves many researches in both academics and industry. The design and configuration of resources are undoubtedly sensitive and labor-intensive task. On the one hand, the resource perspective in process models is not explicitly defined. Although many proposals exist in the literature, they all targeted human resources rather than Cloud resources. On the other hand, despite of the fact that the concept of configurable process models is highly complementary to Cloud Computing, the way in how resources can be configured and integrated is hardly handled. The few proposals, which have been suggested on extending configuration to resources, do not cover required Cloud properties such as elasticity or multi-tenancy.To address these limitations, we propose an approach for supporting the design and configuration of Cloud resource Allocation in configurable business process models. We target to (1) define a unified and formal description for the resource perspective, (2) ensure a correct, free-of-conflict and optimized use of Cloud resource consumption, (3) assist process providers to design their configurable resource allocation in a fine-grained way to avoid complex and large results, and (4) optimize the selection of Cloud resources with respect to the requirements related to Cloud properties (elasticity and shareability) and QoS properties.To do so, we first suggest a semantic framework for a semantically-enriched resource description in business processes aiming at formalizing the consumed Cloud resources using a shared knowledge base. Then, we build upon social business processes to provide strategies in order to ensure a controlled resource allocation without conflicts in terms of resources. Next, we propose a novel approach that extends configurable process models to permit a configurable Cloud resource allocation. Our purpose is to shift the Cloud resource allocation from the tenant side to the Cloud process provider side for a centralized resource management. Afterwards, we propose genetic-based approaches that aim at selecting optimal resource configuration in an energy efficient manner and to improve non-functional properties.In order to show the effectiveness of our proposals, we concretely developed (i) a set of proof of concepts, as a validation part, to assist the design of process models and populate a knowledge base of heterogeneous process models with Cloud resources, and (ii) performed experiments on real process models from large datasets
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19

Hachicha, Belghith Emna. "Supporting cloud resource allocation in configurable business process models." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL007.

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Abstract:
Les organisations adoptent de plus en plus les Systèmes (PAIS) pour gérer leurs processus métiers basés sur les services en utilisant les modèles de processus appelés «modèles de processus métiers». Motivés par l’adaptation aux exigences commerciales et par la réduction des coûts de maintenance, les organisations externalisent leurs processus dans le Cloud Computing. Selon l'Institut NIST, Cloud Computing est un modèle qui permet aux fournisseurs de partager leurs ressources et aux utilisateurs d’y accéder de manière pratique et à la demande. Dans un tel environnement multi-tenant, l'utilisation de modèles de processus configurables permet aux fournisseurs de processus Cloud de fournir un processus personnalisable qui peut être configuré par différents tenants en fonction de leurs besoins.Un processus métier peut être spécifié par plusieurs perspectives tel que la perspective de flux de contrôle, la perspective des ressources, etc. Plusieurs approches ont été proposées au niveau des premières perspectives, notamment le flux de contrôle. Cependant, la perspective ressource, qui est d'une importance égale, était négligée et pas explicitement définie. D’un côté, la gestion de la perspective ressource spécifiquement l’allocation des ressources Cloud est un thème d’actualité qui implique plusieurs recherches. La modélisation et la configuration des ressources sont une tâche sensible nécessitant un travail intensif. Malgré l’existence de différentes approches, elles traitent principalement les ressources humaines plutôt que des ressources Cloud. D’un autre côté, malgré le fait que le concept des modèles de processus configurables est très complémentaire au Cloud, la manière dont comment les ressources sont configurées et intégrées est à peine manipulée. Les approches proposées travaillant sur l’extension de la configuration de ressources, ne couvrent pas les propriétés Cloud notamment l’élasticité et le partage.Pour répondre à ces lacunes, nous proposons une approche pour supporter la modélisation et la configuration de l’allocation des ressources Cloud dans les modèles de processus configurables. Nous visons à (1) définir une description unifiée et formelle pour la perspective ressource, (2) assurer une allocation de ressource correcte, sans conflits et optimisée, (3) Aider les fournisseurs de processus à concevoir leur allocation de ressources configurable de manière fine afin d'éviter des résultats complexes et importants, et (4) Optimiser la sélection des ressources Cloud par rapport aux exigences liées aux propriétés Cloud (élasticité et partage) et propriétés QoS.Pour ce faire, nous proposons d'abord un cadre sémantique pour une description de ressources sémantiquement enrichies dans les processus métiers visant à formaliser les ressources Cloud consommées à l'aide d'une base de connaissances partagée. Ensuite, nous nous basons sur les processus métiers sociales pour fournir des stratégies afin d'assurer une allocation de ressources contrôlée sans conflits en termes de ressources. Par la suite, nous proposons une nouvelle approche qui étend les modèles de processus configurables pour permettre une allocation de ressources Cloud configurable. Notre objectif est de déplacer l'allocation de ressources Cloud du côté des tenants vers le côté du fournisseur de processus Cloud pour une gestion centralisée des ressources. Après, nous proposons des approches génétiques qui visent à choisir une configuration optimale des ressources d'une manière efficace sur le plan énergétique en améliorant les propriétés QoS.Afin de montrer l'efficacité de nos propositions, nous avons développé concrètement (1) une série de preuves de concepts, en tant que partie de validation, pour aider à concevoir des modèles de processus et remplir une base de connaissances de modèles de processus hétérogènes avec des ressources Cloud et (2) ont effectué des expériences sur des modèles de processus réels à partir de grands ensembles de données
Organizations are recently more and more adopting Process-Aware Information Systems (PAIS) for managing their service-based processes using process models referred to as business process models. Motivated by adapting to the rapid changing business requirements and reducing maintenance costs, organizations are outsourcing their processes in an important infrastructure which is Cloud Computing. According to the NIST Institute, Cloud Computing is a model that enables providers sharing their computing resources (e.g., networks, applications, and storage) and users accessing them in convenient and on-demand way with a minimal management effort. In such a multi-tenant environment, using configurable process models allows a Cloud process provider to deliver a customizable process that can be configured by different tenants according to their needs.A business process could be specified from various perspectives such as the control-flow perspective, the organizational perspective, the resource perspective, etc. Several approaches have been correctly proposed at the level of the first perspectives, in particular the control-flow, i.e., the temporal ordering of the process activities. Nevertheless, the resource perspective, which is of equal importance, has been neglected and poorly operated. The management of the resource perspective especially the Cloud resource allocation in business processes is a current interesting topic that increasingly involves many researches in both academics and industry. The design and configuration of resources are undoubtedly sensitive and labor-intensive task. On the one hand, the resource perspective in process models is not explicitly defined. Although many proposals exist in the literature, they all targeted human resources rather than Cloud resources. On the other hand, despite of the fact that the concept of configurable process models is highly complementary to Cloud Computing, the way in how resources can be configured and integrated is hardly handled. The few proposals, which have been suggested on extending configuration to resources, do not cover required Cloud properties such as elasticity or multi-tenancy.To address these limitations, we propose an approach for supporting the design and configuration of Cloud resource Allocation in configurable business process models. We target to (1) define a unified and formal description for the resource perspective, (2) ensure a correct, free-of-conflict and optimized use of Cloud resource consumption, (3) assist process providers to design their configurable resource allocation in a fine-grained way to avoid complex and large results, and (4) optimize the selection of Cloud resources with respect to the requirements related to Cloud properties (elasticity and shareability) and QoS properties.To do so, we first suggest a semantic framework for a semantically-enriched resource description in business processes aiming at formalizing the consumed Cloud resources using a shared knowledge base. Then, we build upon social business processes to provide strategies in order to ensure a controlled resource allocation without conflicts in terms of resources. Next, we propose a novel approach that extends configurable process models to permit a configurable Cloud resource allocation. Our purpose is to shift the Cloud resource allocation from the tenant side to the Cloud process provider side for a centralized resource management. Afterwards, we propose genetic-based approaches that aim at selecting optimal resource configuration in an energy efficient manner and to improve non-functional properties.In order to show the effectiveness of our proposals, we concretely developed (i) a set of proof of concepts, as a validation part, to assist the design of process models and populate a knowledge base of heterogeneous process models with Cloud resources, and (ii) performed experiments on real process models from large datasets
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20

Figl, Kathrin, and Ralf Laue. "Influence factors for local comprehensibility of process models." Elsevier, 2015. http://dx.doi.org/10.1016/j.ijhcs.2015.05.007.

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The main aim of this study is to investigate human understanding of process models and to develop an improved understanding of its relevant influence factors. Aided by assumptions from cognitive psychology, this article attempts to address specific deductive reasoning difficulties based on process models. The authors developed a research model to capture the influence of two effects on the cognitive difficulty of reasoning tasks: (i) the presence of different control-flow patterns (such as conditional or parallel execution) in a process model and (ii) the interactivity of model elements. Based on solutions to 61 different reasoning tasks by 155 modelers, the results from this study indicate that the presence of certain control-flow patterns influences the cognitive difficulty of reasoning tasks. In particular, sequence is relatively easy, while loops in a model proved difficult. Modelers with higher process modeling knowledge performed better and rated subjective difficulty of loops lower than modelers with lower process modeling knowledge. The findings additionally support the prediction that interactivity between model elements is positively related to the cognitive difficulty of reasoning. Our research contributes to both academic literature on the comprehension of process models and practitioner literature focusing on cognitive difficulties when using process models.
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21

Cardoso, Evellin Cristine Souza. "On the alignment between goal models and enterprise models with an ontological account." Mestrado em Informática, 2009. http://repositorio.ufes.br/handle/10/2043.

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Business process modelling basically comprises an activity whose main goal is to provide a formalization of business processes in an organization or a set of cooperating organizations (Recker, et al., 2006) (van der Aalst, et al., 2003). By modelling an organization’s business processes, it is possible to capture how the organization coordinates the work and resources with the aim of achieving its goals and strategies (Sharp, et al., 2001). Since business processes and goals are intrinsically interdependent, establishing an alignment between the process and the goal domains arises as a natural approach. This thesis reports on a real-life exploratory case study in which we investigated the relationship between the elements of the enterprise (modeled in the ARIS framework) and the goals (modeled in the Tropos framework and modeling language) which are attained by these elements. The case study has been conducted in the Rheumatology Department of a University Hospital in Brazil. In the course of the case study, we have identified the need of splitting this effort into three phases: the elicitation phase (in which goal models and business process models are captured from the organizational domain), the harmonization phase (in which the goal domain is structured for alignment according to the business processes structures that will support it) and the alignment phase (in which the relationships between the goal domain and the elements of the organizational domain are established). In order to investigate the relation between goals and enterprise elements, we propose an ontological account for both architectural domains. We recognize the importance in considering the business process as the means for implementing an enterprise’s strategy, but we do not exclude the remaining enterprise elements. Furthermore, we are concerned with both the identification of the relationships and with a classification for their nature.
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22

ADAMO, GRETA. "Investigating business process elements: a journey from the field of Business Process Management to ontological analysis, and back." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/1010191.

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Business process modelling languages (BPMLs) typically enable the representation of business processes via the creation of process models, which are constructed using the elements and graphical symbols of the BPML itself. Despite the wide literature on business process modelling languages, on the comparison between graphical components of different languages, on the development and enrichment of new and existing notations, and the numerous definitions of what a business process is, the BPM community still lacks a robust (ontological) characterisation of the elements involved in business process models and, even more importantly, of the very notion of business process. While some efforts have been done towards this direction, the majority of works in this area focuses on the analysis of the behavioural (control flow) aspects of process models only, thus neglecting other central modelling elements, such as those denoting process participants (e.g., data objects, actors), relationships among activities, goals, values, and so on. The overall purpose of this PhD thesis is to provide a systematic study of the elements that constitute a business process, based on ontological analysis, and to apply these results back to the Business Process Management field. The major contributions that were achieved in pursuing our overall purpose are: (i) a first comprehensive and systematic investigation of what constitutes a business process meta-model in literature, and a definition of what we call a literature-based business process meta-model starting from the different business process meta-models proposed in the literature; (ii) the ontological analysis of four business process elements (event, participant, relationship among activities, and goal), which were identified as missing or problematic in the literature and in the literature-based meta-model; (iii) the revision of the literature-based business process meta-model that incorporates the analysis of the four investigated business process elements - event, participant, relationship among activities and goal; and (iv) the definition and evaluation of a notation that enriches the relationships between activities by including the notions of occurrence dependences and rationales.
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23

Estañol, Montserrat. "Artifact-centric business process models in UML : specification and reasoning." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/393902.

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Business processes are directly involved in the achievement of an organization's goals, and for this reason they should be performed in the best possible way. Modeling business processes can help to achieve this as, for instance, models can facilitate the communication between the people involved in the process, they provide a basis for process improvement and they can help perform process management. Processes can be modeled from many different perspectives. Traditional process modeling has followed the process-centric (or activity-centric) perspective, where the focus is on the sequencing of activities (i.e. the control flow), largely ignoring or underspecifying the data required by these tasks. In contrast, the artifact-centric (or data-centric) approach to process modeling focuses on defining the data required by the tasks and the details of the tasks themselves in terms of the changes they make to the data. The BALSA framework defines four dimensions which should be represented in any artifact-centric business process model: business artifacts, lifecycle, services (i.e. tasks) and associations. Using different types of models to represent these dimensions will result in distinct representations, whose differing characteristics (e.g. the degree of formality or understandability) will make them more appropriate for one purpose or another. Considering this, in the first part of this thesis we propose a framework, BAUML, for modeling business processes following an artifact-centric perspective. This framework is based on using a combination of UML and OCL models, and its goal is to have a final representation of the process which is both understandable and formal, to avoid ambiguities and errors. However, once a process model has been defined, it is important to ensure its quality. This will avoid the propagation of errors to the process's implementation. Although there are many different quality criteria, we focus on the semantic correctness of the model, answering questions such as "does it represent reality correctly?" or "are there any errors and contradictions in it?". Therefore, the second part of this thesis is concerned with finding a way to determine the semantic correctness of our BAUML models. We are interested in considering the BAUML model as a whole, including the meaning of the tasks. To do so, we first translate our models into a well-known framework, a DCDS (Data-centric Dynamic System) to which then modelchecking techniques can be applied. However, DCDSs have been defined theoretically and there is no tool that implements them. For this reason, we also created a prototype tool, AuRUS-BAUML, which is able to translate our BAUML models into logic and to reason on their semantic correctness using an existing tool, SVTe. The integration between AuRUS-BAUML and SVTe is transparent to the user. Logically, the thesis also presents the logic translation which is performed by the tool.
Els processos de negoci estan directament relacionats amb els objectius de negoci, i per tant és important que aquests processos es duguin a terme de la millor manera possible. Optar per modelar-los pot ajudar a aconseguir-ho, ja que els models proporcionen nombrosos avantatges. Per exemple: faciliten la comunicació entre les parts involucrades en el procés, proporcionen una base a partir del qual millorar-lo, i poden ajudar a gestionar-lo. Els processos es poden modelar des de diferents perspectives. El modelat tradicional de processos s'ha basat molt en la perspectiva anomenada "process-centric" (centrada en processos) o "activity-centric" (centrada en activitats), que posa l'èmfasi en la seqüència d'activitats o tasques que s'han d'executar, ignorant en gran mesura les dades necessàries per dur a terme aquestes tasques. Per altra banda, la perspectiva "artifact-centric" (centrada en artefactes) o "data-centric" es basa en definir les dades que necessiten les tasques i els detalls de les tasques en si, representant els canvis que aquestes fan a les dades. El framework BALSA defineix quatre dimensions que haurien de representar-se en qualsevol model artifact-centric: els artefactes de negoci (business artifacts), els cicles de vida (lifecycles), els serveis (services) i les associacions (associations). Utilitzant diferents tipus de models per representar aquestes dimensions porta a obtenir diverses representacions amb característiques diferents. Aquesta varietat de característiques farà que els models resultants siguin més apropiats per un propòsit o per un altre. Considerant això, en la primera part d'aquesta tesi proposem un framework, BAUML, per modelar processos de negoci seguint una perspectiva artifact-centric. El framework es basa en utilitzar una combinació de models UML i OCL, i el seu objectiu és obtenir una representació final del procés que sigui a la vegada comprensible i formal, per tal d'evitar ambigüitats i errors. Un cop definit el procés, és important assegurar-ne la qualitat. Això evitarà la propagació d'errors a la implementació final del procés. Malgrat que hi ha molts criteris de qualitat diferents, ens centrarem en la correctesa semàntica del model, per respondre a preguntes com ara "representa la realitat correctament?" o "conté errors o contradiccions?". En conseqüència, la segona part d'aquesta tesi se centra en buscar una manera per determinar la correctesa semàntica d'un model BAUML. Ens interessa considerar el model com un tot, incloent el significat de les tasques (és a dir, el detall del que fan). Per aconseguir-ho, primer traduïm les tasques a un framework reconegut, DCDSs (Data-centric Dynamic Systems). Un cop obtingut, s'hi poden aplicar tècniques de model-checking per determinar si compleix certes propietats. Malauradament, els DCDSs s'han definit a nivell teòric i no hi ha cap eina que els implementi. Per aquest motiu, hem creat un prototip d'eina, AuRUS-BAUML, que és capaç de traduir els nostres models BAUML a lògica i aplicar-hi tècniques de raonament per determinar-ne la correctesa semàntica. Per la part de raonament, l'AuRUS-BAUML fa servir una eina existent, l'SVTe. La integració entre l'AuRUS-BAUML i l'SVTe és transparent de cara a l'usuari. Lògicament, la tesi també presenta la traducció a lògica que porta a terme l'eina.
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24

Aslan, Ercan. "A Cots-software Requirements Elicitation Method From Business Process Models." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/260208/index.pdf.

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In this thesis, COTS-software requirements elicitation, which is an input for RFP in software intensive automation system&rsquo
s acquisition, is examined. Business Process Models are used for COTS-software requirements elicitation. A new method, namely CREB, is developed to meet the requirements of COTS-software. A software intensive system acquisition of a military organization is used to validate the method.
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25

Effinger, Philip [Verfasser], and Michael [Akademischer Betreuer] Kaufmann. "Visualization of Business Process Models / Philip Effinger ; Betreuer: Michael Kaufmann." Tübingen : Universitätsbibliothek Tübingen, 2013. http://d-nb.info/1162844078/34.

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26

Leopold, Henrik, Sergey Smirnov, and Jan Mendling. "On the refactoring of activity labels in business process models." Elsevier, 2012. http://epub.wu.ac.at/3496/1/IS12%2DLabelRefactoring.pdf.

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Large corporations increasingly utilize business process models for documenting and redesigning their operations. The extent of such modeling initiatives with several hundred models and dozens of often hardly trained modelers calls for automated quality assurance. While formal properties of control flow can easily be checked by existing tools, there is a notable gap for checking the quality of the textual content of models, in particular, its activity labels. In this paper, we address the problem of activity label quality in business process models. We designed a technique for the recognition of labeling styles, and the automatic refactoring of labels with quality issues. More specifically, we developed a parsing algorithm that is able to deal with the shortness of activity labels, which integrates natural language tools like WordNet and the Stanford Parser. Using three business process model collections from practice with differing labeling style distributions, we demonstrate the applicability of our technique. In comparison to a straightforward application of standard natural language tools, our technique provides much more stable results. As an outcome, the technique shifts the boundary of process model quality issues that can be checked automatically from syntactic to semantic aspects.
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27

Masana, Felipe. "Synthesising business process management maturity models: Their anatomy and assessment." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/211476/1/Felipe_Masana%20Sepulveda_Thesis.pdf.

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Business Process Management (BPM) maturity models are tools that help organizations in determining the capabilities required to progress in their BPM ambitions. However, the disparity of key components across different maturity models and lack of assessment tools to gauge maturity, limits the applicability of the models. Following Design Science Research and Content Analysis methods, this research presents two artifacts to address these issues: (i) a meta-model that captures the structure of BPM maturity models and (ii) a maturity grid for BPM Strategic-Alignment capabilities as an example of a ‘ready to use’ assessment tool to measure BPM maturity in organizations.
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28

Costa, Daniel Guzzo da. "The uses and users of design process models in organizations." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-28092016-163657/.

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The use of design process models is of great importance for developing better products. Indeed, it is one of the factors that may differentiate the best companies from the rest. However, their adoption in companies is declining. Usefulness and usability issues may be responsible for process models not to meet the needs of its users. The goal of this research is to provide deeper understanding of the users needs of design process models. Three main perspectives are provided: (1) why organizations use process models, (2) who are the users of process models, and (3) how the context of use of process models is. The research methodology adopted was the Design Research Methodology (DRM). Three stages were performed: (i) Research Clarification, (ii) Descriptive Study I, and (iii) Prescriptive Study. In the first stage, an initial literature review was carried out to collect evidences of why researching process models and their users needs is relevant for the design theory. During the second stage (Descriptive Study I), literature was reviewed to identify the purposes of use of design process models and its potential users; a focusgroup section with 24 subject matter experts was carried out to evaluate these purposes and identify process model users; and, lastly, a case study was perfomed to investigate the context of use of design process models in one organization and to portray the profile of the core users. Finally, the third stage (Prescriptive Study) aimed to uncover directions for organizations develop user-centered design process models. Four main results were achieved through this research. The first result is a deep understanding of three types of application of the design process models: (a) develop the design activity, (b) manage the design project, and (c) improve the design process. The purposes for these aplications were investigated and their level of importance were revealed. In addition, it was mapped the core users of process models for the three applications. The second result is the definition of the context of use of the models.Three dimensions of the context were depicted: the product, the design process, and the organizational structure. The third result is the set of users profiles. Empathy Maps were elaborated to represent the profiles of product engineers, project managers, and technical leaders. The last result consists in recommendations regarding the content provided to users and the process models system design. Finally, industrial practitioners will benefit from this research once it was provided evidences that the activity development application type is not properly considered in organization and that important users needs are not getting proper attention in the current models. Therefore, they will be able to make use of the recommendations outlined here.
O uso de modelos de processo de design é de grande importância no desenvolvimento de novos produtos. De fato, isto é um dos fatores que pode diferenciar as melhores empresas das outras. De qualquer modo, a adoção dos modelos nas empresas esta declinando. Problemas em utilidade e usabilidade podem ser responsáveis pelos modelos não satisfazerem as necessidades de seus usuários. Nesta pesquisa, busca-se entender as necessidades dos usuários dos modelos de processo de design. Três perspectivas são dadas: (1) porquê organizações usam modelos de processo, (2) quem são os usuários dos modelos de processo e (3) como é o contexto de uso de modelos de processo. A metodologia de pesquisa adotada foi a Metodologia de Pesquisa em Design (DRM). Três estágios foram realizados: (i) Clarificação de Pesquisa, (ii) Estudo Descritivo I, e (iii) Estudo Prescritivo. No primeiro estágio, uma revisão inicial da literatura foi executada para coletar evidências do porquê estudar modelos de processo e as necessidades de seus usuários é relevante para a teoria de design. No segundo estágio (Estudo Descritivo I), revisão da literatura ajudou a identificar os propósitos de uso de modelos de processo de design e os seus potenciais usuários; uma seção de focus group com 24 especialistas no assunto foi executado para avaliar estes propósitos e identificar usuários dos modelos de processo; e, por fim, um estudo de caso foi realizado para investigar o contesto de uso dos modelos em uma organização e para retratar o perfil dos usuários principais. Finalmente, o terceiro estágio (Estudo Prescritivo) buscou revelar direções para que as organizações desenvolvam modelos de processo de design centrados em seus usuários. Quatro principais resultados foram alcançados por meio desta pesquisa. O primeiro resultado é um entendimento profundo dos três tipos de aplicação dos modelos de processo: (a) desenvolver atividade de design, (b) gerenciar o projeto de design, e (c) melhorar o processo de design. O propósito destas três aplicações foram investigadas e os níveis de importância evidenciados. Além disso, os usuários centrais dos modelos de processo foram mapeados. O segundo resultado é a definição do contexto de uso dos modelos. Três dimensões do contexto foram retratados: o produto, o processo de design, e a estrutura organizacional. O terceiro resultado é o conjunto de perfis dos usuários. Mapas de Empatia foram elaborados para representar os perfis de engenheiros de produto, gerentes de projeto, e líderes técnicos. O último resultado consiste em recomendações feitas a respeito do conteúdo fornecido aos usuários e o sistema a ser desenvolvido. Finalmente, profissionais da indústria podem beneficiar desta pesquisa uma vez que evidências são fornecidas de que a aplicação de desenvolvimento das atividades não é adequadamente considerada em organizações e que necessidades importantes dos usuários não recebem atenção satisfatória nos modelos atuais. Sendo assim, eles serão capazes de fazer uso das recomendações aqui feitas.
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29

Sadowska, Małgorzata. "Quality of business models expressed in BPMN." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3244.

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Context. The quality of business process models is important in the area of model-based software development. The overall goal of this study was to develop and evaluate a model for assessing the quality of models (Process Diagrams) in Business Process Model and Notation (BPMN). The model was an instantiation of the developed metamodel that adopt ISO/IEC 1926. Objectives. The objectives of the thesis were to propose, implement and evaluate a model for quality assessment of business process models in BPMN. The model was intended to help practitioners to check the quality of their BPMN models and provide meaningful feedback on whether the business process models are of good or bad quality. First objective was to develop a metamodel of models for quality assessment of business process models in BPMN, and later the model that in an instantiation of the metamodel. Within the model, the objectives were to propose the relevant quality characteristics, quality metrics, quality criteria and quality functions. Finally, usefulness of model for quality assessment of business process models in BPMN was to be evaluated. Methods. The methodology was driven by essential elements of the model for quality assessment of business process models in BPMN. This is: quality characteristics, quality metrics, quality criteria and quality functions. In the beginning the metamodel of the model was developed based on the ISO/IEC 1926 standard. Later, in order to identify quality characteristics of models existing in the literature, a systematic literature review was conducted. Quality characteristics explicitly relevant to BPMN were compared against each other and selected. Overlapping quality characteristics relevant to BPMN were merged. Next, in order to obtain quality metrics that measure aspects of models of business processes, a literature review was carried out. The literature review was restricted by a proposed set of selection criteria. The criteria were questions that every relevant literature describing quality metrics must affirmatively answer in order to identify only metrics that were able to be assigned to identify quality characteristics. If the chosen quality metrics needed to be changed or adjusted for the sake of better results, the author added changes or adjustments and provided rationale for them. Next, in order to obtain quality criteria, values of the quality metrics were gathered through measuring a repository of BPMN models. The repository was gathered as a preparatory work for the thesis and it consisted of models of varying quality. Manual measurement of quality metrics for each BPMN model from the repository could not be done within a reasonable amount of time. Therefore, a tool to automatically calculate metrics for BPMN models was implemented. The quality criteria were proposed based on the results from interpretation of the values using statistical analysis. Later, quality functions that aggregate values of the metrics were proposed. The complete model was next integrated into the tool so that it could assess a quality of real BPMN models. Finally, the model for assessing the quality of business process models in BPMN was evaluated for usefulness through a survey and survey-based experiment. Results. A metamodel of models for quality assessment of business process models in BPMN was proposed. A model for the quality assessment of models in BPMN was proposed and evaluated for usefulness. Initial sets of quality characteristics of models were found in the literature and quality characteristics that were relevant to BPMN were extracted. Quality metrics that measure aspects of models were found and adjusted to the BPMN notation. Quality criteria that state how values of quality metrics can be classified as good or bad were provided. Quality functions that state if quality characteristics are good or bad for a chosen BPMN model were provided. Finally, a tool that implements the model for quality assessment of models in BPMN was created. Conclusions. The results of the survey and survey-based experiment showed that the proposed model for quality assessment of models in BPMN works in most cases and is needed in general. Additionally, the elements of the model which should be corrected were identified. Contacted users of BPMN expressed a will to use the suggested tool associated with the model for quality assessment of business process models in BPMN.
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30

Kopp, A. M., and D. L. Orlovskyi. "Business processes analysis and enhancement using reference models." Thesis, Харківський національний економічний університет ім. Семена Кузнеця, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/35956.

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31

He, Hongyu. "Weakness Identification of Excess Inventory Based on Business Process Models : A Case Study with Business Process Modelling and Weakness Identification." Thesis, Uppsala universitet, Informationssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420919.

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With development and impact of ICT, the method of work in many organizations has been becoming more collaborative and communicative, under which a number of organizations start to take corresponding strategies to achieve business goals and create more values. Managing Business Process is an effective and efficient way to improve productivity and performance of business activities from an organizational level. Business Process model, as a representation of Business Process, provides a big picture of Business Process, allowing organizations to acquire understanding on logical relationships among different business activities and to improve Business Process by various approaches. This study discusses the application of Business Process models on weakness identification which is related to the problem of excess inventory in supply chain with a qualitative method. It adopts three Business Process Modelling techniques to build Business Process models for a planning team involved with demand and supply planning, where four experts from the team participate in interview. The models are analyzed according to selected weakness patterns in order to identify the process weaknesses and link them with the causes of excess inventory. The result of this study gives a positive answer, which means the Business Process Models are capable to identify causes for the concrete problem of excess inventory by identifying process weaknesses.
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32

Aydin, Elif. "An Automated Tool For Quality Manual Generation From Business Process Models." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612342/index.pdf.

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The majority of organizations make their business processes explicit to improve them. Defining business processes manually and modeling them are two alternatives utilized for this purpose. Meanwhile, organizations have quality management systems which are frequently shaped by frameworks. The most commonly used process improvement frameworks in the IT sector are ITIL, Cobit, CMMI and ISO 9001. These frameworks indicate the necessity of process documentation and ISO 9001 addresses the name &ldquo
Quality Manual&rdquo
for this purpose. In this thesis, an automated tool is developed for quality manual generation from predetermined business process models. In addition, a case study is performed by means of a systematic approach and its results were discussed with the findings of structured interviews. The aim of the study is to reduce the effort and time required for quality manual preparation and merge quality management activities with process modeling by means of process documentation.
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33

Atefi, Katayoun. "Formal models of business process reengineering for design and design validation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29422.pdf.

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34

Kunze, Matthias [Verfasser], and Mathias [Akademischer Betreuer] Weske. "Searching business process models by example / Matthias Kunze. Betreuer: Mathias Weske." Potsdam : Universitätsbibliothek der Universität Potsdam, 2013. http://d-nb.info/1044466316/34.

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35

Bala, Saimir, Jan Mendling, Martin Schimak, and Peter Queteschiner. "Case and Activity Identification for Mining Process Models from Middleware." Springer, Cham, 2018. http://epub.wu.ac.at/6620/1/PoEM2018%2Dsubmitted.pdf.

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Process monitoring aims to provide transparency over operational aspects of a business process. In practice, it is a challenge that traces of business process executions span across a number of diverse systems. It is cumbersome manual engineering work to identify which attributes in unstructured event data can serve as case and activity identifiers for extracting and monitoring the business process. Approaches from literature assume that these identifiers are known a priori and data is readily available in formats like eXtensible Event Stream (XES). However, in practice this is hardly the case, specifically when event data from different sources are pooled together in event stores. In this paper, we address this research gap by inferring potential case and activity identifiers in a provenance agnostic way. More specifically, we propose a semi-automatic technique for discovering event relations that are semantically relevant for business process monitoring. The results are evaluated in an industry case study with an international telecommunication provider.
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36

CARDOSO, E. C. S. "ON THE ALIGNMENT BETWEEN GOAL MODELS AND ENTERPRISE MODELS WITH AN ONTOLOGICAL ACCOUNT." Universidade Federal do Espírito Santo, 2009. http://repositorio.ufes.br/handle/10/4213.

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Made available in DSpace on 2016-08-29T15:33:10Z (GMT). No. of bitstreams: 1 tese_3334_.pdf: 6590453 bytes, checksum: 5654758329fe7af83bec07339d8a3ffb (MD5) Previous issue date: 2009-12-16
Business process modelling basically comprises an activity whose main goal is to provide a formalization of business processes in an organization or a set of cooperating organizations (Recker, et al., 2006) (van der Aalst, et al., 2003). By modelling an organizations business processes, it is possible to capture how the organization coordinates the work and resources with the aim of achieving its goals and strategies (Sharp, et al., 2001). Since business processes and goals are intrinsically interdependent, establishing an alignment between the process and the goal domains arises as a natural approach. This thesis reports on a real-life exploratory case study in which we investigated the relationship between the elements of the enterprise (modeled in the ARIS framework) and the goals (modeled in the Tropos framework and modeling language) which are attained by these elements. The case study has been conducted in the Rheumatology Department of a University Hospital in Brazil. In the course of the case study, we have identified the need of splitting this effort into three phases: the elicitation phase (in which goal models and business process models are captured from the organizational domain), the harmonization phase (in which the goal domain is structured for alignment according to the business processes structures that will support it) and the alignment phase (in which the relationships between the goal domain and the elements of the organizational domain are established). In order to investigate the relation between goals and enterprise elements, we propose an ontological account for both architectural domains. We recognize the importance in considering the business process as the means for implementing an enterprises strategy, but we do not exclude the remaining enterprise elements. Furthermore, we are concerned with both the identification of the relationships and with a classification for their nature.
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37

Geyer, Rian Willem. "Value-adding business process modelling : determining the suitability of a business process modelling technique for a given application." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85758.

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Thesis (MScEng)-- Stellenbosch University, 2013.
ENGLISH ABSTRACT: Organizations formally define and document their business processes in order to properly understand them and to subsequently enable their continuous development, improvement and management. In order to formally define and document their business processes, organizations can use Business Process Modelling, which represents the design of graphical models that portray the business processes of organizations. It is however noted that it is difficult to select a suitable Business Process Modelling Technique in support of a specific application of Business Process Modelling. This is due to the considerable amount of existing Business Process Modelling Techniques, the inherent impact of their varying capabilities and the lack of formal measures that are available to support evaluations regarding their suitability for specific modelling applications. It is therefore considered appropriate to execute a research study that is aimed at the development and validation of a measurement framework that can be used to evaluate the suitability of Business Process Modelling Techniques for specific modelling applications.
AFRIKAANSE OPSOMMING: Organisasies definieer en dokumenteer hulle besigheidsprosesse op ʼn formele wyse om hulle ordentlik te verstaan en gevolglik hulle deurlopende ontwikkeling, verbetering en bestuur te bemagtig. Ten einde die uitvoering van hierdie aktiwiteit aan te spreek, kan organisasies Besigheidsproses Modellering gebruik om grafiese modelle van hulle besigheidsprosesse te ontwerp. Daar word egter kennis geneem dat dit moeilik is om ʼn geskikte Besigheidsproses Modellering Tegniek te kies tes ondersteuning van ʼn spesifieke toepassing van Besigheidsproses Modellering. Dit is weens die groot hoeveelheid bestaande Besigheidsproses Modellering Tegnieke, die impak van hulle variërende vermoëns asook die gebrek aan formele maatstawwe wat gebruik kan word om hulle geskiktheid vir spesifieke modellering toepassings te evalueer. Dit lei tot die besluit om ‘n studie te voltooi wat gefokus is op die ontwikkeling en validasie van ʼn metings raamwerk wat gebruik kan word om die geskiktheid van Besigheidsproses Modellering Tegnieke vir spesifieke toepassings van Besigheidproses Modellering te evalueer.
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38

Assy, Nour. "Automated support of the variability in configurable process models." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLL001/document.

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L'évolution rapide dans les environnements métier d'aujourd'hui impose de nouveaux défis pour la gestion efficace et rentable des processus métiers. Dans un tel environnement très dynamique, la conception des processus métiers devient une tâche fastidieuse, source d'erreurs et coûteuse. Par conséquent, l'adoption d'une approche permettant la réutilisation et l'adaptabilité devient un besoin urgent pour une conception de processus prospère. Les modèles de processus configurables récemment introduits représentent l'une des solutions recherchées permettant une conception de processus par la réutilisation, tout en offrant la flexibilité. Un modèle de processus configurable est un modèle générique qui intègre de multiples variantes de procédés d'un même processus métier à travers des points de variation. Ces points de variation sont appelés éléments configurables et permettent de multiples options de conception dans le modèle de processus. Un modèle de processus configurable doit être configuré selon une exigence spécifique en sélectionnant une option de conception pour chaque élément configurable.Les activités de recherche récentes sur les modèles de processus configurables ont conduit à la spécification des langages de modélisation de processus configurables comme par exemple configurable Event-Driven Process Chain (C-EPC) qui étend la notation de l'EPC avec des éléments configurables. Depuis lors, la question de la conception et de la configuration des modèles de processus configurables a été étudiée. D'une part, puisque les modèles de processus configurables ont tendance à être très complexe avec un grand nombre d'éléments configurables, de nombreuses approches automatisées ont été proposées afin d'assister leur conception. Cependant, les approches existantes proposent de recommander des modèles de processus configurables entiers qui sont difficiles à réutiliser, nécessitent un temps complexe de calcul et peuvent confondre le concepteur du processus. D'autre part, les résultats de la recherche sur la conception des modèles de processus configurables ont mis en évidence la nécessité des moyens de soutien pour configurer le processus. Par conséquent, de nombreuses approches ont proposé de construire un système de support de configuration pour aider les utilisateurs finaux à sélectionner les choix de configuration souhaitables en fonction de leurs exigences. Cependant, ces systèmes sont actuellement créés manuellement par des experts du domaine qui est sans aucun doute une tâche fastidieuse et source d'erreurs .Dans cette thèse, nous visons à automatiser le soutien de la variabilité dans les modèles de processus configurables. Notre objectif est double: (i) assister la conception des processus configurables d'une manière à ne pas confondre les concepteurs par des recommandations complexes et (i) assister la création des systèmes de soutien de configuration afin de libérer les analystes de processus de la charge de les construire manuellement. Pour atteindre le premier objectif, nous proposons d'apprendre de l'expérience acquise grâce à la modélisation des processus passés afin d'aider les concepteurs de processus avec des fragments de processus configurables. Les fragments proposés inspirent le concepteur du processus pour compléter la conception du processus en cours. Pour atteindre le deuxième objectif, nous nous rendons compte que les modèles de processus préalablement conçus et configurés contiennent des connaissances implicites et utiles pour la configuration de processus. Par conséquent, nous proposons de bénéficier de l'expérience acquise grâce à la modélisation et à la configuration passées des processus afin d'aider les analystes de processus dans la construction de leurs systèmes de support de configuration
Today's fast changing environment imposes new challenges for effective management of business processes. In such a highly dynamic environment, the business process design becomes time-consuming, error-prone, and costly. Therefore, seeking reuse and adaptability is a pressing need for a successful business process design. Configurable reference models recently introduced were a step toward enabling a process design by reuse while providing flexibility. A configurable process model is a generic model that integrates multiple process variants of a same business process in a given domain through variation points. These variation points are referred to as configurable elements and allow for multiple design options in the process model. A configurable process model needs to be configured according to a specific requirement by selecting one design option for each configurable element.Recent research activities on configurable process models have led to the specification of configurable process modeling notations as for example configurable Event-Driven Process Chain (C-EPC) that extends the EPC notation with configurable elements. Since then, the issue of building and configuring configurable process models has been investigated. On the one hand, as configurable process models tend to be very complex with a large number of configurable elements, many automated approaches have been proposed to assist their design. However, existing approaches propose to recommend entire configurable process models which are difficult to reuse, cost much computation time and may confuse the process designer. On the other hand, the research results on configurable process model design highlight the need for means of support to configure the process. Therefore, many approaches proposed to build a configuration support system for assisting end users selecting desirable configuration choices according to their requirements. However, these systems are currently manually created by domain experts which is undoubtedly a time-consuming and error-prone task.In this thesis, we aim at automating the support of the variability in configurable process models. Our objective is twofold: (i) assisting the configurable process design in a fin-grained way using configurable process fragments that are close to the designers interest and (ii) automating the creation of configuration support systems in order to release the process analysts from the burden of manually building them. In order to achieve the first objective, we propose to learn from the experience gained through past process modeling in order to assist the process designers with configurable process fragments. The proposed fragments inspire the process designer to complete the design of the ongoing process. To achieve the second objective, we realize that previously designed and configured process models contain implicit and useful knowledge for process configuration. Therefore, we propose to benefit from the experience gained through past process modeling and configuration in order to assist process analysts building their configuration support systems. Such systems assist end users interactively configuring the process by recommending suitable configuration decisions
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39

Coskuncay, Ahmet. "An Approach For Generating Natural Language Specifications By Utilizing Business Process Models." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612305/index.pdf.

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Business process modeling is utilized by organizations for defining and reengineering their business processes. On the other hand, software requirements analysis activities are performed for determining the system boundaries, specifying software requirements using system requirements and resolving conflicts between requirements. From this point of view, these two activities are considered in different disciplines. An organization requiring its business processes to be defined and supported with information systems would benefit from performing business process modeling and requirements analysis concurrently. In this study, an approach enabling concurrent execution of business process modeling and requirements analysis is developed. The approach includes two business process modeling notations adapted to the research needs, a process defining the steps for implementing the approach and the requirements generation tool that generates natural language specification documents by using business process models. Within this study, two case studies are introduced
one describing the development of the approach and the other exploring if the total efficiency of performing business process modeling and requirements analysis activites would be increased by using the approach.
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40

FORNARI, FABRIZIO. "Quality Assurance for Business Process Models: a Focus on Understandability and Correctness." Doctoral thesis, Università degli Studi di Camerino, 2018. http://hdl.handle.net/11581/459285.

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Business processes and their management are nowadays receiving more and more attention, in academia, industry and public administration sectors. They consist of sets of activities carried out to reach a specific goal (i.e. delivering a product or a service). The representation of those processes by means of graphical models is a widely used practice which allows for having a clear picture of the overall actions and interactions that should occur. Those models, once designed, can be used to guarantee qualities of the business processes they represent. In fact, specific verifications can be carried out on top of those models to evaluate, for example, properties such as understandability, and correctness which are considered indicators of high quality business processes. A scenario where understandability of business process models is crucial is the one of the LearnPAd project. LearnPAd uses business process models for sharing knowledge of the public administration processes across public servants, so techniques to guarantee model understandability are required. Some business process modeling practices can be adopted to foster the design of understandable models. However, an incorrect model, even if it is considered understandable, it cannot be of practical use if it leads to execution problems. Then, also techniques to verify business process model correctness are required. In this thesis, I present an overview of how the issue of assuring business process qualities is tackled in the literature, with a specific focus on understandability and correctness. Concerning understandability, my contribution relies on a collection of 50 BPMN modeling guidelines extracted from the literature and provided in a template that may enhance their usability. The work on understandability concluded with the development of a tool named BEBoP which allows the automatic verification of understandability modeling guidelines over BPMN models. Concerning model correctness, I contributed to the definition of a BPMN Operational Semantics, and to its implementation in the Maude system which enables verification by applying model checking techniques. The work on correctness concluded with the development of a tool called BProVe which allows to verify correctness properties, such as soundness and safeness, of business process models represented by means of the BPMN notation. All the developed tools have been tested over a set of thousands of BPMN models coming from the Academic Initiative repository. This allowed to verify their efficiency and usability in practice, and to provide statistics and considerations about those business process models. Many of the analyzed models violated both understandability and correctness properties. This is a clear evidence that proves the need for tools that can help model designers in designing understandable and correct models.
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41

Gerke, Kerstin. "Continual process improvement based on reference models and process mining." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2011. http://dx.doi.org/10.18452/16353.

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Geschäftsprozesse stellen ein wichtiges Gut eines Unternehmens dar. Für den Unternehmenserfolg sind nicht einmalig optimal gestaltete Prozesse entscheidend, sondern die Fähigkeit, schnell auf neue Entwicklungen reagieren und die betroffenen Prozesse flexibel anpassen zu können. In vielen Unternehmen ist eine aktuelle Beschreibung ihrer Prozesse als wesentliche Voraussetzung für die Prozessverbesserung jedoch nicht oder nur unzureichend gegeben. Nicht selten wird ein erstelltes Prozessmodell nicht weiterverwendet, so dass es nach kurzer Zeit von der betrieblichen Realität abweicht. Diese fehlende Übereinstimmung kann durch die Nutzung von Prozess-Mining-Technologien verhindert werden, indem das in den Informationssystemen implizit vorhandene Prozesswissen automatisiert extrahiert und in Form von Prozessmodellen abgebildet wird. Ein weiteres wichtiges Element für die effiziente Gestaltung und Steuerung von Prozessen bilden Referenzmodelle, wie z. B. ITIL und CobiT. Die Prozessverbesserung durchläuft in der Regel mehrere Analyse-, Design-, Implementierungs- , Ausführungs-, Monitoring-, und Evaluierungsschritte. Die Arbeit stellt eine Methodik vor, die die Identifizierung und Lösung der auftretenden Aufgaben unterstützt und erleichtert. Eine empirische Untersuchung zeigt die Herausforderungen und die Potenziale für den erfolgreichen Einsatz von Process-Mining-Techniken. Auf der Basis der Resultate dieser Untersuchung wurden spezielle Aspekte der Datenaufbereitung für Process-Mining-Algorithmen detailliert betrachtet. Der Fokus liegt dabei auf der Bereitstellung von Enterprise- und RFID-Daten. Weiterhin beleuchtet die Arbeit die Wichtigkeit, die Referenzprozessausführung zu überprüfen, um deren Einhaltung in Bezug auf neue oder geänderte Prozesse zu sichern. Die Methodik wurde anhand einer Reihe von Praxisbeispielen erprobt. Die Ergebnisse unterstreichen ihre generelle unternehmensübergreifende Anwendbarkeit für die effiziente kontinuierliche Prozessverbesserung.
The dissertation at hand takes as its subject business processes. Naturally they are subject to continual improvement and are a major asset of any given organization. An optimally-designed process, having once proven itself, must be flexible, as new developments demand swift adaptations. However, many organizations do not adequately describe these processes, though doing so is a prerequisite for their improvement. Very often the process model created during an information system’s implementation either is not used in the first place or is not maintained, resulting in an obvious lack of correspondence between the model and operational reality. Process mining techniques prevent this. They extract the process knowledge inherent in an information system and visualize it in the form of process models. Indeed, continual process improvement depends greatly on this modeling approach, and reference models, such as ITIL and CobiT, are entirely suitable and powerful means for dealing with the efficient design and control of processes. Process improvement typically consists of a number of analysis, design, implementation, execution, monitoring, and evaluation activities. This dissertation proposes a methodology that supports and facilitates them. An empirical analysis both revealed the challenges and the potential benefits of these processes mining techniques’ successful. This in turn led to the detailed consideration of specific aspects of the data preparation for process mining algorithms. Here the focus is on the provision of enterprise data and RFID events. This dissertation as well examines the importance of analyzing the execution of reference processes to ensure compliance with modified or entirely new business processes. The methodology involved a number of cases’ practical trials; the results demonstrate its power and universality. This new approach ushers in an enhanced continual inter-departmental and inter-organizational improvement process.
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42

Leonardo, Barros Silva Bruno. "Sec-MoSC Translation Framework: An approach to transform business process models into executable process considering security requirements." Universidade Federal de Pernambuco, 2011. https://repositorio.ufpe.br/handle/123456789/2837.

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Made available in DSpace on 2014-06-12T16:01:30Z (GMT). No. of bitstreams: 2 arquivo9415_1.pdf: 2190260 bytes, checksum: 2972a41af6edc33657e680fccdd03a29 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2011
O surgimento da Computação Orientada a Serviços (COS) como um novo paradigm de programação trouxe muitas características boas, como permitir a programação em massa, integração mais fácil entre sistemas de empresas diferentes, escalabilidade, mas, principalmente, o foco na lógica de mais alto nível do negócio. Mas, enquanto este foco na lógica do negócio é mais produtivo e muito crucial aos usuários de negócio que não possuem conhecimento tecnológico (e de fato, não precisam dele), ainda há uma brecha semântica entre o que o usuário descreve na lógica de negócio e no que realmente é executado na máquina. Neste contexto, apresentamos a Ferramenta de Tradução Sec-MoSC, uma abordagem proposta para evitar esta brecha, responsável por fazer a tradução entre modelos de processo de negócio alto-nível e processos executáveis. Dois avanços principais são extraídos deste trabalho: uma forma mais fácil e reusável de criar novos artefatos de tradução e a incorporação de requisitos não-funcionais (como segurança) no processo de tradução modelagem-para-execução, especificamente, com uma implementação para as duas linguagens mais usadas para modelar e executar processos de negócio, respectivamente, BPMN e BPEL
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43

Pourshahid, Alireza. "A Framework for Monitoring and Adapting Business Processes Using Aspect-Oriented URN." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30958.

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Context: Organizations strive to improve their business processes, and adaptive business processes have recently attracted much attention in that context. However, much research in that area has a narrow focus and does not consider a comprehensive view of the organization and its goals. In addition, Business Intelligence-based monitoring methods are useful for business process improvement but they often present information in a format that is not entirely suited for decision making. Objectives: The main objectives of this thesis are to provide: • A framework to model goals, processes, performance, situations, and improvement patterns using one modeling notation, in an iterative and incremental manner; • A method for the modeling and analysis of cause-effect relationships between indicators used to measure goal satisfaction; and • A technique allowing the detection of undesirable, sub-optimal conditions and the application of improvement patterns to the context Method: We develop an iterative framework based on the User Requirements Notation (URN) for modeling, monitoring and improving business organizations and their business processes. In addition, we introduce a formula-based evaluation algorithm allowing better analysis of the relationships between the business performance model elements (namely indicators). Furthermore, we use a profiled version of the Aspect-oriented URN (AoURN) with extensions (Business Process Pattern profile), for detecting undesirable conditions and for business process adaptation. We validate the novelty and feasibility of our approach by performing a systematic literature review, by assessing it against Zellner’ mandatory elements of a method, by developing tool support, by performing a pilot experiment and by using real-life examples from different sectors (healthcare and retail). Results: The two examples show that through the framework’s iterative approach, organizations at different levels of maturity in their business improvement journey can benefit from the framework. Furthermore, our systematic literature review shows that although there are existing works that enable our vision, most of them have a narrow focus and do not cover the three organization views that are of interest in this research. AoURN allows analysts to find repeated patterns in a context and bundle goal, performance and process models as a self-contained unit. AoURN hence enables the modeling of complex circumstances together with analysis techniques for what-if analysis and process adaptation, all using a unified and integrated modeling language. Finally, the pilot experiment suggests that, with some level of documentation and training, users who are already familiar with URN can use the profiled AoURN provided in this thesis as well as the discussed improvement patterns.
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44

Assy, Nour. "Automated support of the variability in configurable process models." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLL001.

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L'évolution rapide dans les environnements métier d'aujourd'hui impose de nouveaux défis pour la gestion efficace et rentable des processus métiers. Dans un tel environnement très dynamique, la conception des processus métiers devient une tâche fastidieuse, source d'erreurs et coûteuse. Par conséquent, l'adoption d'une approche permettant la réutilisation et l'adaptabilité devient un besoin urgent pour une conception de processus prospère. Les modèles de processus configurables récemment introduits représentent l'une des solutions recherchées permettant une conception de processus par la réutilisation, tout en offrant la flexibilité. Un modèle de processus configurable est un modèle générique qui intègre de multiples variantes de procédés d'un même processus métier à travers des points de variation. Ces points de variation sont appelés éléments configurables et permettent de multiples options de conception dans le modèle de processus. Un modèle de processus configurable doit être configuré selon une exigence spécifique en sélectionnant une option de conception pour chaque élément configurable.Les activités de recherche récentes sur les modèles de processus configurables ont conduit à la spécification des langages de modélisation de processus configurables comme par exemple configurable Event-Driven Process Chain (C-EPC) qui étend la notation de l'EPC avec des éléments configurables. Depuis lors, la question de la conception et de la configuration des modèles de processus configurables a été étudiée. D'une part, puisque les modèles de processus configurables ont tendance à être très complexe avec un grand nombre d'éléments configurables, de nombreuses approches automatisées ont été proposées afin d'assister leur conception. Cependant, les approches existantes proposent de recommander des modèles de processus configurables entiers qui sont difficiles à réutiliser, nécessitent un temps complexe de calcul et peuvent confondre le concepteur du processus. D'autre part, les résultats de la recherche sur la conception des modèles de processus configurables ont mis en évidence la nécessité des moyens de soutien pour configurer le processus. Par conséquent, de nombreuses approches ont proposé de construire un système de support de configuration pour aider les utilisateurs finaux à sélectionner les choix de configuration souhaitables en fonction de leurs exigences. Cependant, ces systèmes sont actuellement créés manuellement par des experts du domaine qui est sans aucun doute une tâche fastidieuse et source d'erreurs .Dans cette thèse, nous visons à automatiser le soutien de la variabilité dans les modèles de processus configurables. Notre objectif est double: (i) assister la conception des processus configurables d'une manière à ne pas confondre les concepteurs par des recommandations complexes et (i) assister la création des systèmes de soutien de configuration afin de libérer les analystes de processus de la charge de les construire manuellement. Pour atteindre le premier objectif, nous proposons d'apprendre de l'expérience acquise grâce à la modélisation des processus passés afin d'aider les concepteurs de processus avec des fragments de processus configurables. Les fragments proposés inspirent le concepteur du processus pour compléter la conception du processus en cours. Pour atteindre le deuxième objectif, nous nous rendons compte que les modèles de processus préalablement conçus et configurés contiennent des connaissances implicites et utiles pour la configuration de processus. Par conséquent, nous proposons de bénéficier de l'expérience acquise grâce à la modélisation et à la configuration passées des processus afin d'aider les analystes de processus dans la construction de leurs systèmes de support de configuration
Today's fast changing environment imposes new challenges for effective management of business processes. In such a highly dynamic environment, the business process design becomes time-consuming, error-prone, and costly. Therefore, seeking reuse and adaptability is a pressing need for a successful business process design. Configurable reference models recently introduced were a step toward enabling a process design by reuse while providing flexibility. A configurable process model is a generic model that integrates multiple process variants of a same business process in a given domain through variation points. These variation points are referred to as configurable elements and allow for multiple design options in the process model. A configurable process model needs to be configured according to a specific requirement by selecting one design option for each configurable element.Recent research activities on configurable process models have led to the specification of configurable process modeling notations as for example configurable Event-Driven Process Chain (C-EPC) that extends the EPC notation with configurable elements. Since then, the issue of building and configuring configurable process models has been investigated. On the one hand, as configurable process models tend to be very complex with a large number of configurable elements, many automated approaches have been proposed to assist their design. However, existing approaches propose to recommend entire configurable process models which are difficult to reuse, cost much computation time and may confuse the process designer. On the other hand, the research results on configurable process model design highlight the need for means of support to configure the process. Therefore, many approaches proposed to build a configuration support system for assisting end users selecting desirable configuration choices according to their requirements. However, these systems are currently manually created by domain experts which is undoubtedly a time-consuming and error-prone task.In this thesis, we aim at automating the support of the variability in configurable process models. Our objective is twofold: (i) assisting the configurable process design in a fin-grained way using configurable process fragments that are close to the designers interest and (ii) automating the creation of configuration support systems in order to release the process analysts from the burden of manually building them. In order to achieve the first objective, we propose to learn from the experience gained through past process modeling in order to assist the process designers with configurable process fragments. The proposed fragments inspire the process designer to complete the design of the ongoing process. To achieve the second objective, we realize that previously designed and configured process models contain implicit and useful knowledge for process configuration. Therefore, we propose to benefit from the experience gained through past process modeling and configuration in order to assist process analysts building their configuration support systems. Such systems assist end users interactively configuring the process by recommending suitable configuration decisions
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45

Figl, Kathrin, and Jan Recker. "Process Innovation as Creative Problem-Solving: An Experimental Study of Textual Descriptions and Diagrams." Elsevier, 2016. http://dx.doi.org/10.1016/j.im.2016.02.008.

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The use of process models to support business analysts' idea-generation tasks has been a long-standing topic of interest in process improvement. We examine how two types of representations of organizational processes - textual and diagrammatic - assist analysts in developing innovative solutions to process-redesign tasks. The results of our study clarify the types of process-redesign ideas generated by analysts who work with text versus those who work with models. We find that the volume and originality of process-redesign ideas do not differ significantly but that appropriateness of ideas varies. We discuss the implications of these findings for research and practice in process improvement.
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46

Lim, Lisa Poh Lin. "Linking process development capability to business models in firms in the biopharmaceutical sector." Thesis, University of Cambridge, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431544.

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47

Aljawawdeh, H. "An interactive metaheuristic search framework for software service identification from business process models." Thesis, University of the West of England, Bristol, 2019. http://eprints.uwe.ac.uk/37959/.

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In recent years, the Service-Oriented Architecture (SOA) model of computing has become widely used and has provided efficient and agile business solutions in response to inevitable and rapid changes in business requirements. Software service identification is a crucial component in the production of a service-oriented architecture and subsequent successful software development, yet current service identification methods have limitations. For example, service identification methods are either not sufficiently comprehensive to handle the totality of service identification activities, or they lack computational support, or they pay insufficient attention to quality checks of resulting services. To address these limitations, comprehensive computationally intelligent support for software engineers when deriving software services from an organisation's business process models shows great potential, especially when the impact of human preference on the quality of the resulting solutions can be incorporated. Accordingly, this research attempts to apply interactive metaheuristic search to effectively bridge the gap between business and SOA technology and so increase business agility. A novel, comprehensive framework is introduced that is driven by domain independent role-based business process models, and uses an interactive metaheuristic search-based service identification approach based on a genetic algorithm, while adhering to SOA principles. Termed BPMiSearch, the framework is composed of three main layers. The first layer is concerned with processing inputs from business process models into search space elements by modelling input data and presenting them at an appropriate level of granularity. The second layer focuses on identifying software services from the specified search space. The third layer refines the resulting services to map the business elements in the resulting candidate services to the corresponding service components. The proposed BPMiSearch framework has been evaluated by applying it to a healthcare domain case study, specifically, Cancer Care and Registration (CCR) business processes at the King Hussein Cancer Centre, Amman, Jordan. Experiments show that the impact of software engineer interaction on the quality of the outcomes in terms of search effectiveness, efficiency, and level of user satisfaction, is assessed. Results show that BPMiSearch has rapid search performance to positively support software engineers in the identification of services from role-based business process models while adhering to SOA principles. High-quality services are identified that might not have been arrived at manually by software engineers. Furthermore, it is found that BPMiSearch is sensitive and responsive to software engineer interaction resulting in a positive level of user trust, acceptance, and satisfaction with the candidate services.
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48

Kopp, A. M., and D. L. Orlovskyi. "Using computer vision and fuzzy logic to assess quality of business process models." Thesis, Прикарпатський національний університет ім. Василя Стефаника, 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/47100.

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In this paper we propose a method for quality assessment of business process models using computer vision and fuzzy logic. OpenCV library usage as well as bypassing of its drawbacks of template matching is considered. Membership functions of metrics of the business process model quality are outlined. Obtained results and future research are discussed.
В даній роботі пропонується метод оцінки якості моделей бізнес-процесів на основі комп'ютерного бачення та нечіткої логіки. Розглянуто використання бібліотеки OpenCV та обхід її недоліків щодо пошуку за шаблоном. Наведено функції належності метрик якості моделей бізнес-процесів. Описано отримані результати та напрямки подальших досліджень.
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49

Hienerth, Christoph, Peter Keinz, and Christopher Lettl. "Exploring the nature and implementation process of IT-based user-centric business models." Elsevier, 2011. http://epub.wu.ac.at/3477/2/Paper_final_mit_Deckblatt.docx.pdf.

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Recent advances in information and communication technologies have allowed companies to interact with external stakeholders, especially users, in a very efficient and effective way. As a result, more and more companies are striving to take advantage of these new opportunities and to harness the creative potential of their users by integrating them into core business processes. Successful companies like Threadless or Dell, which were designed to allow user innovation and co-creation from the outset, clearly demonstrate the potential value of such approaches. However, the introduction of user-centric value creation processes at established companies is a rather complex task, as it requires major adaptations to traditional manufacturer-centered business models. At present, little is known about how established companies can successfully implement user-centric business models. In this paper, we therefore explore (1) the success factors for attracting and engaging users in core business processes, and (2) effective strategies to overcome internal resistance when established companies introduce user-centric business models. We apply a multi-case comparison methodology between three well-known companies (LEGO, IBM and Coloplast) which have successfully integrated users into their core business processes. We find that the successful implementation of user-centric business models requires a comprehensive approach encompassing not only an appropriate social softwaredesign, but also a transparent intellectual property policy, proper incentive systems, evolutional learning and nurturing as well as employee empowerment.
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Tolis, Christofer. "Framing the business : business modelling for business development." Doctoral thesis, Stockholm : Economic Research Institute, Stockholm School of Economics (Ekonomiska forskningsinstitutet vid Handelshögskolan) (EFI), 2005. http://web.hhs.se/efi/summary/664.htm.

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