Relevant bibliographies by topics / Automatic generation of user interface

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Academic literature on the topic 'Automatic generation of user interface'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "Automatic generation of user interface"

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Wu, Hao, and Qing Yi Hua. "Research on Model-Based User Interface Automatic Generation in SaaS Environment." Advanced Materials Research 850-851 (December 2013): 728–32. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.728.

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A model-based user interface automatic generation development method was presented to adapt for user interface development requirement under SaaS environment. This method deployed abstract interface model, transformation model, specific interface model and final interface in different abstract level at running time. So, the server-end could distribute the user interface to the client-end by one time a widow or page. By a case study, this method can satisfy the demands of user interface under SaaS environment, and it is so simple to study and use.
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Arpaia, Pasquale, Lucio Fiscarelli, and Giuseppe Commara. "Advanced User Interface Generation in the Software Framework for Magnetic Measurements at Cern." Metrology and Measurement Systems 17, no. 1 (January 1, 2010): 27–37. http://dx.doi.org/10.2478/v10178-010-0003-y.

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Advanced User Interface Generation in the Software Framework for Magnetic Measurements at CernA model-based approach, the Model-View-Interactor Paradigm, for automatic generation of user interfaces in software frameworks for measurement systems is proposed. The Model-View-Interactor Paradigm is focused on the "interaction" typical in a software framework for measurement applications: the final user interacts with the automatic measurement system executing a suitable high-level script previously written by a test engineer. According to the main design goal of frameworks, the proposed approach allows the user interfaces to be separated easily from the application logic for enhancing the flexibility and reusability of the software. As a practical case study, this approach has been applied to the flexible software framework for magnetic measurements at the European Organization for Nuclear research (CERN). In particular, experimental results about the scenario of permeability measurements are reported.
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Ekpar, Frank Edughom. "Novel System for Processing User Interfaces." European Journal of Engineering and Technology Research 5, no. 1 (January 15, 2020): 42–45. http://dx.doi.org/10.24018/ejeng.2020.5.1.1701.

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In this paper we introduce novel automatic and manual processing systems for a versatile graphical user interface comprising one or more N-dimensional background elements each of which is divided into one or more arbitrarily-shaped N-dimensional partitions, wherein each partition may contain one or more user interface elements and is associated with one or more sets of rules that define rendering, positioning, element placement and other relevant attributes and behaviors, wherein said rules can be specified in such a way as to enable said N-dimensional background to assume any desired arbitrary shape and to facilitate expansion to any desired arbitrary size without distortion or loss in quality. Our systems permit the efficient generation of intuitive graphical user interfaces in a wide variety of application domains.
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SAVIDIS, ANTHONY, MARGHERITA ANTONA, and CONSTANTINE STEPHANIDIS. "A DECISION-MAKING SPECIFICATION LANGUAGE FOR VERIFIABLE USER-INTERFACE ADAPTATION LOGIC." International Journal of Software Engineering and Knowledge Engineering 15, no. 06 (December 2005): 1063–94. http://dx.doi.org/10.1142/s0218194005002646.

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In automatic user interface adaptation, developers pursue the delivery of best-fit user interfaces according to the runtime-supplied profiles of individual end users and usage contexts. Software engineering of automatic interface adaptability entails: (a) storage and processing of user and usage-context profiles; (b) design and implementation of alternative interface components, to optimally support the various user activities and interface operations for different users and usage contexts; and (c) runtime decision-making, to choose on the fly the most appropriate alternative interface components, given the particular user and context profile. In automatic interface adaptation, the decision making process plays a key role in optimal on-the-fly interface assembly, engaging consolidated design wisdom in a computable form. A verifiable language has been designed and implemented which is particularly suited for the specification of adaptation-oriented decision-making logic, while also being easily deployable and usable by interface designers. This paper presents the language, its contextual role in adapted interface delivery and the automatic verification method. The employment of the language in an adaptation-design support tool is discussed, the latter automatically generating language rules by relying upon adaptation rule patterns. Finally, the deployment methodology of the language in supporting dynamic interface assembly is discussed, further generalizing towards dynamic software assembly, by introducing architectural contexts and polymorphic architectural containment.
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Ekpar, Frank Edughom. "A Novel System for Processing User Interfaces." European Journal of Engineering Research and Science 5, no. 1 (January 15, 2020): 42–45. http://dx.doi.org/10.24018/ejers.2020.5.1.1701.

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In this paper we introduce novel automatic and manual processing systems for a versatile graphical user interface comprising one or more N-dimensional background elements each of which is divided into one or more arbitrarily-shaped N-dimensional partitions, wherein each partition may contain one or more user interface elements and is associated with one or more sets of rules that define rendering, positioning, element placement and other relevant attributes and behaviors, wherein said rules can be specified in such a way as to enable said N-dimensional background to assume any desired arbitrary shape and to facilitate expansion to any desired arbitrary size without distortion or loss in quality. Our systems permit the efficient generation of intuitive graphical user interfaces in a wide variety of application domains.
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Tomasek, Matrtin, and Tomas Cerny. "Automated User Interface Generation Involving Field Classification." Software Networking 2017, no. 1 (2017): 53–78. http://dx.doi.org/10.13052/jsn2445-9739.2017.004.

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Ionescu, Tudor B. "Leveraging Graphical User Interface Automation for Generic Robot Programming." Robotics 10, no. 1 (December 25, 2020): 3. http://dx.doi.org/10.3390/robotics10010003.

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A novel approach to generic (or generalized) robot programming and a novel simplified, block-based programming environment, called “Assembly”, are introduced. The approach leverages the newest graphical user interface automation tools and techniques to generate programs in various proprietary robot programming environments by emulating user interactions in those environments. The “Assembly” tool is used to generate robot-independent intermediary program models, which are translated into robot-specific programs using a graphical user interface automation toolchain. The generalizability of the approach to list, tree, and block-based programming is assessed using three different robot programming environments, two of which are proprietary. The results of this evaluation suggest that the proposed approach is feasible for an entire range of programming models and thus enables the generation of programs in various proprietary robot programming environments. In educational settings, the automated generation of programs fosters learning different robot programming models by example. For experts, the proposed approach provides a means for generating program (or task) templates, which can be adjusted to the needs of the application at hand on the shop floor.
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Mauro, Gioacchino, Harold Thimbleby, Andrea Domenici, and Cinzia Bernardeschi. "Extending a User Interface Prototyping Tool with Automatic MISRA C Code Generation." Electronic Proceedings in Theoretical Computer Science 240 (January 27, 2017): 53–66. http://dx.doi.org/10.4204/eptcs.240.4.

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Taktak, Hajer, and Faouzi Moussa. "A service-oriented application creation process in ubiquitous environments." International Journal of Pervasive Computing and Communications 13, no. 3 (September 4, 2017): 300–330. http://dx.doi.org/10.1108/ijpcc-10-2016-0054.

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Purpose Many features constitute an adaptive system such as user model, interface specification, business functionalities and service implementation. Context awareness is an important facet of service oriented application creation dealing with the gathering, use and representation of context information. Generally, user interfaces and services communities work separately on the adaptation process and do not converge. The aim of this work is to manage the system’s functionalities and the user interface that delivers data to the relevant consumer early since the design phase until the code generation. Design/methodology/approach The authors discuss how a unified method based on a model-driven architecture for adaptive user interface and pervasive service creation eases the work of designers and developers, limits incompatibility issues and supports dynamic generation of systems adapted to different contexts of use. Findings The proposed approach is able to support a semi-automatic ubiquitous application generation with service, behavior, presentation and content adaptation. Originality/value In this paper, the authors tackle context-awareness at two levels: system functionalities and user interface generation. The authors also tackle adaptation at the specification and implementation levels.
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CROSS II, JAMES H., and R. STEPHEN DANNELLY. "REVERSE ENGINEERING GRAPHICAL REPRESENTATIONS OF X SOURCE CODE." International Journal of Software Engineering and Knowledge Engineering 06, no. 02 (June 1996): 307–27. http://dx.doi.org/10.1142/s0218194096000144.

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A technique for reverse engineering graphical user interfaces (GUIs) produced with Xtoolkit source code is presented. Two independent graphical representations are automatically generated to assist GUI programmers in the development, testing, maintenance, and reengineering of X-based GUI source code. This capability to generate both structural and behavioral views has the potential to provide major improvements in the comprehensibility of X source code. Whereas generating widget instance trees to describe the structure of an X interface is common, the automatic generation of dialogue state diagrams to describe the behavior of an X interface is unique to our technique. The intent of this paper is to provide insight into the functional details of our automated reverse engineering process for the benefit of other reverse engineering researchers and programming tool developers.
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Dissertations / Theses on the topic "Automatic generation of user interface"

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Dewan, Prasun. "Automatic generation of user interfaces." Madison, Wis. : University of Wisconsin-Madison, Computer Sciences Dept, 1986. http://catalog.hathitrust.org/api/volumes/oclc/14706019.html.

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FERREIRA, EDUARDO DE OLIVEIRA. "AUTOMATIC GENERATION OF USER INTERFACE TEST SUITES SPECIFIED BY USE CASES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23277@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
Espera-se que o desenvolvimento de suítes de teste a partir de modelos possa contribuir substancialmente para a redução do esforço humano e aumentar a eficácia dos testes gerados. Entende-se por eficácia (ideal) dos testes o percentual de defeitos existentes encontrados a partir desses testes. Uma grande parte dessas técnicas baseia-se em máquinas de estado e quase sempre estão voltadas para o teste de funcionalidade. Entretanto, existe a necessidade de se poder testar sistemas altamente interativos, tais como smartphones e tablets, a partir de uma descrição de sua interface humano-computador. O objetivo da dissertação é efetuar uma primeira avaliação de uma técnica voltada para a geração de suítes de teste visando o teste de interfaces gráficas. Para tal,desenvolvemos e avaliamos a eficácia de uma ferramenta, chamada Easy, que utiliza casos de uso tabulares e máquina de estados para a geração automática da suíte de testes. Os casos de uso são descritos em linguagem natural restrita. A partir dessa descrição, a ferramenta constrói uma máquina de estado e, a seguir, a utiliza para gerar cenários. Por construção os cenários estarão em conformidade com os casos de uso. Cada cenário corresponde a um caso de teste. Os cenários são apresentados ao usuário em linguagem natural restrita, permitindo a visualização destes antes da geração dos scripts finais de testes. Os scripts gerados são destinados a uma ferramenta de execução automatizada voltada para o teste de interfaces gráficas. Neste trabalho, utilizou-se a ferramenta UI Automation, responsável pela execução de testes em aplicações destinadas ao iOS, sistema operacional de iPhone, iPad e iPod Touch. A eficácia do processo foi avaliada em uma aplicação real, disponível na loja virtual de aplicativos App Store. Além disso, foram realizados testes de IHC afim de avaliar a influência no custo da produção da suíte de teste.
It is expected that the development of test suites from models can contribute substantially to reducing the human effort and to increase the effectiveness of the generated tests. Means for tests’ effectiveness (ideal) the percentage of existing defects found by these tests. Most of these techniques is based on state machines and mostly directed to testing the functionality. However, there is a need to be able to test highly interactive systems, such as smartphones and tablets, from a description of its human computer interface. The goal of the dissertation is to make a first evaluation of a technique aimed to generate test suites for test of human computer graphic interface. For this purpose was developed and evaluated its effectiveness, a tool called Easy, using use cases tabular and state machine for the automatic generation of the suite tests. The use cases are described in natural language restricted. From this description, the tool builds a state machine, and then uses this to generate scenarios. By construction scenarios will be in accordance with the use cases. Each scenario corresponds to a test case. The scenarios are presented to the user in natural language, allowing the visualization of them before the generation of the final scripts tests. The generated scripts are intended to a running automated tool geared to testing graphical interfaces. In this work, we used the UI Automation tool, responsible for running tests on applications for the iOS, operational system for iPhones, iPads and iPod touchs. The effectiveness of the procedure was evaluated in a real application, available in the online store applications App Store. In addition, HCI tests were performed in order to evaluate the influence on the cost of production of the test suite.
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Qu, Yenan. "Toolkits for automatic web service and graphic user interface generation." Tallahassee, Florida : Florida State University, 2009. http://etd.lib.fsu.edu/theses/available/etd-07282009-100013.

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Thesis (M.S.)--Florida State University, 2009.
Advisor: Gordon Erlebacher, Florida State University, College of Arts and Sciences, Dept. of Scientific Computing. Title and description from dissertation home page (viewed on Nov. 5, 2009). Document formatted into pages; contains viii, 52 pages. Includes bibliographical references.
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Fischer, Markus. "Automatic generation of spatial configurations in user interfaces." Thesis, University of Brighton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263977.

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Liu, Fangfang. "An ontology-based approach to Automatic Generation of GUI for Data Entry." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/1094.

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This thesis reports an ontology-based approach to automatic generation of highly tailored GUI components that can make customized data requests for the end users. Using this GUI generator, without knowing any programming skill a domain expert can browse the data schema through the ontology file of his/her own field, choose attribute fields according to business's needs, and make a highly customized GUI for end users' data requests input. The interface for the domain expert is a tree view structure that shows not only the domain taxonomy categories but also the relationships between classes. By clicking the checkbox associated with each class, the expert indicates his/her choice of the needed information. These choices are stored in a metadata document in XML. From the viewpoint of programmers, the metadata contains no ambiguity; every class in an ontology is unique. The utilizations of the metadata can be various; I have carried out the process of GUI generation. Since every class and every attribute in the class has been formally specified in the ontology, generating GUI is automatic. This approach has been applied to a use case scenario in meteorological and oceanographic (METOC) area. The resulting features of this prototype have been reported in this thesis.
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Debard, Quentin. "Automatic learning of next generation human-computer interactions." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI036.

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L’Intelligence Artificielle (IA) et les Interfaces Homme-Machine (IHM) sont deux champs de recherche avec relativement peu de travaux communs. Les spécialistes en IHM conçoivent habituellement les interfaces utilisateurs directement à partir d’observations et de mesures sur les interactions humaines, optimisant manuellement l’interface pour qu’elle corresponde au mieux aux attentes des utilisateurs. Ce processus est difficile à optimiser : l’ergonomie, l’intuitivité et la facilité d’utilisation sont autant de propriétés clé d’une interface utilisateur (IU) trop complexes pour être simplement modélisées à partir de données d’interaction. Ce constat restreint drastiquement les utilisations potentielles de l’apprentissage automatique dans ce processus de conception. A l’heure actuelle, l’apprentissage automatique dans les IHMs se cantonne majoritairement à la reconnaissance de gestes et à l’automatisation d’affichage, par exemple à des fins publicitaires ou pour suggérer une sélection. L’apprentissage automatique peut également être utilisé pour optimiser une interface utilisateur existante, mais il ne participe pour l’instant pas à concevoir de nouvelles façons d’intéragir. Notre objectif avec cette thèse est de proposer grâce à l’apprentissage automatique de nouvelles stratégies pour améliorer le processus de conception et les propriétés des IUs. Notre but est de définir de nouvelles IUs intelligentes – comprendre précises, intuitives et adaptatives – requérant un minimum d’interventions manuelles. Nous proposons une nouvelle approche à la conception d’IU : plutôt que l’utilisateur s’adapte à l’interface, nous cherchons à ce que l’utilisateur et l’interface s’adaptent mutuellement l’un à l’autre. Le but est d’une part de réduire le biais humain dans la conception de protocoles d’interactions, et d’autre part de construire des interfaces co-adaptatives capables de correspondre d’avantage aux préférences individuelles des utilisateurs. Pour ce faire, nous allons mettre à contribution les différents outils disponibles en apprentissage automatique afin d’apprendre automatiquement des comportements, des représentations et des prises de décision. Nous expérimenterons sur les interfaces tactiles pour deux raisons majeures : celles-ci sont largement utilisées et fournissent des problèmes facilement interprétables. La première partie de notre travail se focalisera sur le traitement des données tactiles et l’utilisation d’apprentissage supervisé pour la construction de classifieurs précis de gestes tactiles. La seconde partie détaillera comment l’apprentissage par renforcement peut être utilisé pour modéliser et apprendre des protocoles d’interaction en utilisant des gestes utilisateur. Enfin, nous combinerons ces modèles d’apprentissage par renforcement avec de l’apprentissage non supervisé pour définir une méthode de conception de nouveaux protocoles d’interaction ne nécessitant pas de données d’utilisation réelles
Artificial Intelligence (AI) and Human-Computer Interactions (HCIs) are two research fields with relatively few common work. HCI specialists usually design the way we interact with devices directly from observations and measures of human feedback, manually optimizing the user interface to better fit users’ expectations. This process is hard to optimize: ergonomy, intuitivity and ease of use are key features in a User Interface (UI) that are too complex to be simply modelled from interaction data. This drastically restrains the possible uses of Machine Learning (ML) in this design process. Currently, ML in HCI is mostly applied to gesture recognition and automatic display, e.g. advertisement or item suggestion. It is also used to fine tune an existing UI to better optimize it, but as of now it does not participate in designing new ways to interact with computers. Our main focus in this thesis is to use ML to develop new design strategies for overall better UIs. We want to use ML to build intelligent – understand precise, intuitive and adaptive – user interfaces using minimal handcrafting. We propose a novel approach to UI design: instead of letting the user adapt to the interface, we want the interface and the user to adapt mutually to each other. The goal is to reduce human bias in protocol definition while building co-adaptive interfaces able to further fit individual preferences. In order to do so, we will put to use the different mechanisms available in ML to automatically learn behaviors, build representations and take decisions. We will be experimenting on touch interfaces, as these interfaces are vastly used and can provide easily interpretable problems. The very first part of our work will focus on processing touch data and use supervised learning to build accurate classifiers of touch gestures. The second part will detail how Reinforcement Learning (RL) can be used to model and learn interaction protocols given user actions. Lastly, we will combine these RL models with unsupervised learning to build a setup allowing for the design of new interaction protocols without the need for real user data
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Tsekleves, Emmanuel. "Fast prototyping and semi-automated user interface and application generation for converged broadcast and cellular terminals." Thesis, Brunel University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436572.

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Koriťák, Jan. "Automatická tvorba grafického rozhraní pro vzdálený přístup." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237075.

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This thesis explores the possibilities of abstraction of graphical user interface and automation of its design and development process at runtime. Emphasis is placed on possibility of remote control over computer network and accordingly on delegation of the interface creation on the human operated remote machine. The thesis analyzes contemporary approaches to and methods of interface generation. As a goal of the thesis a system for automatic user interface generation for remote applications was designed and implemented. The generation is based on specified data model.
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Gutierrez, Lopez Armando, and Viela Ignacio Manuel Mulas. "Automated Telecommunication Software Testing : An automated model generator for Model-Based Testing." Thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-93852.

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In Model-Based Testing (MBT) the main goal is to test a system by designing models which describe the functionality of the system to test. Subsequently, test cases are obtained from the model, and these test cases can be executed automatically. Experience has shown that the learning curve for learning MBT can be steep - especially for people who do not have previous programming experience. This is because the language used to design models uses programming language concepts. In this thesis we describe a tool which automatically generates models, given an initial set of requirements. The advantage of this tool is that users do not need to learn a model-based testing language to design models, but instead they must learn to use a high-level of abstraction and a Graphical User Interface to specify their test cases. We demonstrate the value of the tool by using it to design models that generate test cases for telecommunications system, but show that this tool can be adapted for use in testing similar systems. The application of this tool can facilitate traditional phase-based software development methods, by saving a considerable amount of time and resources. In addition, when applied to agile software development, the reduced time required for testing because of the use of our tool helps shortening the feedback loops between designing and testing, thus increasing team efficiency within every iteration.
I Model-Based Testing (MBT) är det huvudsakliga målet att testa ett system genom modeller som beskriver systemets unktionalitet för att testa. Därefter erhålls testfall från modellen, och dessa testfall kan utföras automatiskt. Erfarenheten har visat att inlärningskurvan för lärande MBT kan vara branta - särskilt för personer som inte har tidigare erfarenhet av programmering. Detta beror på det språk som används för användning programmeringsspråk begrepp. I denna avhandling beskriver vi ett verktyg som automatiskt genererar modellerna, med tanke på en första uppsättning krav. Fördelen med detta verktyg är att användarna inte behöver lära sig en modellbaserad testning av språket att konstruera modeller, utan de måste lära sig att använda en hög nivåav abstraktion och ett grafiskt användargränssnitt för att ange sina testfall. Vi demonstrerar värdet av verktyget genom att använda den för att konstruera modeller som genererar testfall för telekommunikationssystem, men visar att detta verktyg kan anpassas för användning vid testning av liknande system. Tillämpningen av detta verktyg kan underlätta traditionella fas-baserade metoder mjukvaruutveckling, genom att spara en avsevärd tid och resurser. Dessutom, när det tillämpas på Agile Software utveckling, minskade tid som krävs för att testa på grund av användningen av vårt verktyg hjälper förkorta återkopplingar mellan design och testning, vilket ökar teamet effektiviteten inom varje iteration.
En Model-Based Testing (MBT), el objetivo principal es testear un sistema mediante el diseño de modelos que describan su funcionalidad. En consecuencia, estos modelos generan test cases que pueden ser ejecutados automáticamente en dicho sistema. La experiencia nos muestra que la curva de aprendizaje en el caso de MBT puede ser pronunciada, especialmente para aquellos sin ninguna experiencia previa en programación. Esto se debe a que los lenguajes usados para diseñar modelos usan conceptos intrínsecos a los lenguajes de programación. En este Proyecto Fin de Carrera, describimos una herramienta que genera automáticamente modelos, dado un conjunto de requisitos inicial. La ventaja que ofrece esta herramienta es que los usuarios no requieren el aprendizaje de ninguno lenguaje de modelado a la hora de diseñar modelos, sino que tan solo deben aprender a utilizar una Interfaz de Usuario Gráfica (GUI), a un alto nivel de abstracción, para especificar sus test cases. Demostramos el valor de esta herramienta mediante su aplicación en un nuevo sistema de telecomunicaciones en fase de pruebas de Ericsson, mostrando al mismo tiempo que puede ser utilizada en el testeo de sistemas similares. La aplicación de esta herramienta puede facilitar los métodos de desarrollo de software tradicionales mediante el ahorro de una cantidad considerable de tiempo y recursos. Además, aplicada a métodos de desarrollo ágil de software, el tiempo reducido requerido para el testing a causa del uso de esta herramienta ayuda a acortar los plazos entre diseño y testing, y en consecuencia, incrementando la eficiencia del equipo en cada iteración.
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Pečiulaitis, Marius. "Automatizuotas internetinių IS vartotojo sąsajų kūrimas." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070116_121540-70711.

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In this work the main aspects were discussed that need to be evaluated by establishing graphical user interface. There were discussed some user interface languages and technologies such as XML, XUL, XIML, XSLT, CSS, XHTML, analyzed some used methods for automated user interface generation. On a basis of this analysis, the proper method was chosen to apply for generating of user interface using ODRES method results. On the next stadeges of the work it was designed and developed prototype of the GUI generation system. The main goals were to develop cross-platform user interface, using as mutch as possible simplyer technologies along with that securing constant design on different web browsers. Generation process operates using the GUI specification stored in the MS SQL database and converting it to XML and along with the XSLT files used as parser. After these files are opened using web browser, XML and XSLT code is processed to an XHTML code. The process of the user interface generation is flexible and alows user change GUI’s appearance on the fly adjusting it’s specification stored on the database or XSLT rooles as well. During this work were made some ot the modifications to the ODRES database: appended few more attributes, describing graphical elements characteristics and web form relations; added extra tables.
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Books on the topic "Automatic generation of user interface"

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Logunova, Oksana, Petr Romanov, and Elena Il'ina. Processing of experimental data on a computer. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1064882.

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The textbook provides information about the main methods and tools for automating computational processes used in data processing; methods for representing and generating models of experimental data; data models and classification of processing tasks; and the organization of the user interface in automated systems for processing experimental data. Contains structured chapters on the specifics of experimental research. The features of using software for processing experimental data are clearly and logically described. Theoretical material and basic algorithms for processing experimental data used in industrial statistics are presented. Examples of processing experimental data in the field of metallurgy and management in higher education are given. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For students and postgraduates of higher educational institutions.
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United States. National Aeronautics and Space Administration., ed. User interface user's guide for HYPGEN. San Jose, CA: MCAT Institute, 1992.

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Practical Speech User Interface Design. Boca Raton, FL: CRC Press, 2011.

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Spoken dialogue technology: Toward the conversational user interface. London: Springer, 2004.

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Ing-Tsau, Chiu, Buning Pieter G, and Ames Research Center, eds. User's manual for the HYPGEN hyperbolic grid generator and the HGUI graphical user interface. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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Meisel, William S. The telephony voice user interface: Applications of speech recognition, text-to-speech, and speaker verification over the telephone. Tarzana, CA: TMA Associates, 1998.

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United States. National Aeronautics and Space Administration., ed. Automated data acquisition technology development: Automated modeling and control development : final technical report. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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A, Myers R., Delaney Robert A, and United States. National Aeronautics and Space Administration., eds. TADS, a CFD-based turbomachinery and analysis design system with GUI. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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A, Myers R., Delaney R. A, and United States. National Aeronautics and Space Administration., eds. TADS, a CFD-based turbomachinery and analysis design system with GUI. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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Lyang, Viktor. CAD programming: Spatial modeling of a column apparatus in the Autodesk Inventor environment. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/991773.

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The tutorial describes in detail the creation of an external subsystem for Autodesk Inventor in the high-level language C# Microsoft Visual Studio of the column apparatus. Such issues as working in the Microsoft Visual Studio 2010 programming environment, connecting the library of functions of the Autodesk Inventor API to an external user subsystem, spatial solid-state modeling of elements of a column apparatus, saving constructed objects, assembling the apparatus from stored modules by the interface method of surfaces are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the direction of "Computer Science and computer engineering", in preparation for laboratory work and the exam. It can be used by students of other specialties when studying the courses "Fundamentals of Computer Science", "High-level programming language" and "3D modeling of machines and apparatuses". It may be useful for programmers engaged in spatial modeling of objects.
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Book chapters on the topic "Automatic generation of user interface"

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Ruiz, Jenny, and Monique Snoeck. "Feedback Generation for Automatic User Interface Design Evaluation." In Communications in Computer and Information Science, 67–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11513-4_4.

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Gao, Jie, Fu Wang, and Lei Li. "Automatic Generation of User Interface Method Based on Automated Planning." In Lecture Notes in Electrical Engineering, 693–702. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38460-8_77.

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Bertini, Enrico, Giuseppe Santucci, and Andrea Calì. "Automatic Interface Generation Through Interaction, Users, and Devices Modeling." In Computer-Aided Design of User Interfaces V, 191–200. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5820-2_16.

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da Cruz, António Miguel Rosado, and João Pascoal Faria. "A Metamodel-Based Approach for Automatic User Interface Generation." In Model Driven Engineering Languages and Systems, 256–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16145-2_18.

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Dubey, Gaurav. "A Survey on Guiding Logic for Automatic User Interface Generation." In Universal Access in Human-Computer Interaction. Design for All and eInclusion, 365–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21672-5_40.

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Li, Chunling, and Ben Niu. "User Interface Code Automatic Generation Technology Based on Big Data." In Advances in Intelligent Systems and Computing, 397–403. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62743-0_57.

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Zeidler, Clemens, Gerald Weber, Wolfgang Stuerzlinger, and Christof Lutteroth. "Automatic Generation of User Interface Layouts for Alternative Screen Orientations." In Human-Computer Interaction - INTERACT 2017, 13–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67744-6_2.

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Kovacevic, Srdjan. "Beyond Automatic Generation — Exploratory Approach to UI Design." In Computer-Aided Design of User Interfaces II, 79–95. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4295-3_8.

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Díaz, Juan Sánchez, Oscar Pastor López, Hugo Estrada Esquivel, Alicia Martínez Rebollar, and Jorge Belenguer Fáguas. "Semi Automatic Generation of User Interface Prototypes From Early Requirement Models." In Perspectives on Software Requirements, 201–22. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4615-0465-8_9.

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Bergman, Lawrence, Guruduth Banavar, Danny Soroker, and Jeremy Sussman. "Combining Handcrafting and Automatic Generation of User-Interfaces for Pervasive Devices." In Computer-Aided Design of User Interfaces III, 155–66. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0421-3_14.

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Conference papers on the topic "Automatic generation of user interface"

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Ertl, Dominik. "Semi-automatic multimodal user interface generation." In the 1st ACM SIGCHI symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1570433.1570494.

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Butz, A. "Session details: Automated user interface generation." In IUI-CADUI04: Intelligent User Interface. New York, NY, USA: ACM, 2004. http://dx.doi.org/10.1145/3259368.

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Falb, Jüergen, Sevan Kavaldjian, Roman Popp, David Raneburger, Edin Arnautovic, and Hermann Kaindl. "Fully automatic user interface generation from discourse models." In Proceedingsc of the 13th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1502650.1502722.

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Ruiz, Jenny, and Monique Snoeck. "Automatic Feedback Generation for Supporting User Interface Design." In 16th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010513400230033.

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Kavaldjian, Sevan, David Raneburger, Jurgen Falb, Hermann Kaindl, and Dominik Ertl. "Semi-automatic user interface generation considering pointing granularity." In 2009 IEEE International Conference on Systems, Man and Cybernetics. SMC 2009. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346356.

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Ruiz, Jenny, and Monique Snoeck. "Automatic Feedback Generation for Supporting User Interface Design." In 16th International Conference on Software Technologies. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010513400002992.

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Pawade, Dipti, Avani Sakhapara, Sanyogita Parab, Divya Raikar, Ruchita Bhojane, and Henali Mamania. "Automatic HTML Code Generation from Graphical User Interface Image." In 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2018. http://dx.doi.org/10.1109/rteict42901.2018.9012284.

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Omojokun, Olufisayo, and Prasun Dewan. "Automatic Generation of Device User-Interfaces?" In Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom'07). IEEE, 2007. http://dx.doi.org/10.1109/percom.2007.10.

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Costa, Felipe, Sixun Ouyang, Peter Dolog, and Aonghus Lawlor. "Automatic Generation of Natural Language Explanations." In IUI'18: 23rd International Conference on Intelligent User Interfaces. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3180308.3180366.

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Scott, M. L., and S. K. Yap. "A grammar-based approach to automatic generation of user-interface dialogues." In the SIGCHI conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/57167.57179.

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Reports on the topic "Automatic generation of user interface"

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Martinez, Kimberly D., and Gaojian Huang. Exploring the Effects of Meaningful Tactile Display on Perception and Preference in Automated Vehicles. Mineta Transportation Institute, October 2022. http://dx.doi.org/10.31979/mti.2022.2164.

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There is an existing issue in human-machine interaction, such that drivers of semi-autonomous vehicles are still required to take over control of the vehicle during system limitations. A possible solution may lie in tactile displays, which can present status, direction, and position information while avoiding sensory (e.g., visual and auditory) channels overload to reliably help drivers make timely decisions and execute actions to successfully take over. However, limited work has investigated the effects of meaningful tactile signals on takeover performance. This study synthesizes literature investigating the effects of tactile displays on takeover performance in automated vehicles and conducts a human-subject study to design and test the effects of six meaningful tactile signal types and two pattern durations on drivers’ perception and performance during automated driving. The research team performed a literature review of 18 articles that conducted human-subjects experiments on takeover performance utilizing tactile displays as takeover requests. Takeover performance in these studies were highlighted, such as response times, workload, and accuracy. The team then conducted a human-subject experiment, which included 16 participants that used a driving simulator to present 30 meaningful vibrotactile signals, randomly across four driving sessions measuring for reaction times (RTs), interpretation accuracy, and subjective ratings. Results from the literature suggest that tactile displays can present meaningful vibrotactile patterns via various in-vehicle locations to help improve drivers’ performance during the takeover and can be used to assist in the design of human-machine interfaces (HMI) for automated vehicles. The experiment yielded results illustrating higher urgency patterns were associated with shorter RTs and higher intuitive ratings. Also, pedestrian status and headway reduction signals presented shorter RTs and increased confidence ratings compared to other tactile signal types. Finally, the signal types that yielded the highest accuracy were the surrounding vehicle and navigation signal types. Implications of these findings may lie in informing the design of next-generation in-vehicle HMIs and future human factors studies on human-automation interactions.
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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the INDOT Traffic Management Center have worked together to research and develop a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and the classification of vehicles involved in an incident. The goal was to develop a system and prepare for future implementation. The research team designed the new system, in­cluding the hardware and software components, the currently existing INDOT CCTV system, the database structure for traffic data extracted from the videos, and a user-friendly web-based server for identifying individual lanes on the highway and showing vehicle flowrates of each lane automatically. The preliminary prototype of some system components was implemented in the 2018–2019 JTRP projects, which provided the feasibility and structure of the automatic traffic status extraction from the video feeds. The 2019–2021 JTRP project focused on developing and improving many features’ functionality and computation speed to make the program run in real-time. The specific work in this 2021–2022 JTRP project is to improve the system further and implement it on INDOT’s premises. The system has the following features: vehicle-detection, road boundary detection, lane detection, vehicle count and flowrate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The research team has installed the system on one computer in INDOT for daily road traffic monitoring operations.
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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wavelength imaging sensor was constructed and tested using the selected technology. The sensor was tested and algorithms for multispectral image acquisition were developed. A high speed inspection system for fresh-market carrots was built and tested. It was shown that a combination of efficient parallel processing of a DSP and a PC based host CPU in conjunction with a hierarchical classification system, yielded an inspection system capable of handling 2 carrots per second with a classification accuracy of more than 90%. The adaptive sorting technique was extensively investigated and conclusively demonstrated to reduce misclassification rates in comparison to conventional non-adaptive sorting. The adaptive classifier algorithm was modeled and reduced to a series of modules that can be added to any existing produce sorting machine. A simulation of the entire process was created in Matlab using a graphical user interface technique to promote the accessibility of the difficult theoretical subjects. Typical Grade classifiers based on k-Nearest Neighbor techniques and linear discriminants were implemented. The sample histogram, estimating the cumulative distribution function (CDF), was chosen as a characterizing feature of prototype populations, whereby the Kolmogorov-Smirnov statistic was employed as a population classifier. Simulations were run on artificial data with two-dimensions, four populations and three classes. A quantitative analysis of the adaptive classifier's dependence on population separation, training set size, and stack length determined optimal values for the different parameters involved. The technique was also applied to a real produce sorting problem, e.g. an automatic machine for sorting dates by machine vision in an Israeli date packinghouse. Extensive simulations were run on actual sorting data of dates collected over a 4 month period. In all cases, the results showed a clear reduction in classification error by using the adaptive technique versus non-adaptive sorting.
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