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Journal articles on the topic 'Agent Oriented Software Engineering'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

BERNON, CAROLE, MASSIMO COSSENTINO, and JUAN PAVÓN. "Agent-oriented software engineering." Knowledge Engineering Review 20, no. 2 (2005): 99–116. http://dx.doi.org/10.1017/s0269888905000421.

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Considering the great number of agent-oriented methodologies that can be found in the literature, and the fact that each one defines its own concepts and system structure, one of the main challenges in agent-oriented software engineering (AOSE) research is how to make these methodologies interoperable. By defining concepts used in a specific domain in a non-ambiguous way, meta-modelling may represent a step towards such interoperability. Consequently the main objective of the AOSE TFG (Technical Forum Group) is to establish a strategy for identifying a common meta-model that could be widely ad

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2

Gómez-Sanz, Jorge J., and Rubén Fuentes-Fernández. "Understanding Agent-Oriented Software Engineering methodologies." Knowledge Engineering Review 30, no. 4 (2015): 375–93. http://dx.doi.org/10.1017/s0269888915000053.

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AbstractFor many years, the progress in agent-oriented development has focused on tools and methods for particular development phases. This has not been enough for the industry to accept agent technology as we expected. Our hypothesis is that the Agent-Oriented Software Engineering (AOSE) community has not recognized the kind of development methods that industry actually demands. We propose to analyze this hypothesis starting with a more precise definition of what an AOSE methodology should be. This definition is the first step for a review of the current progress of an illustrative selection

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Mubarak, Hisham. "Developing Flexible Software Using Agent-Oriented Software Engineering." IEEE Software 25, no. 5 (2008): 12–15. http://dx.doi.org/10.1109/ms.2008.135.

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4

Cohen, Mark A., Frank E. Ritter, and Steven R. Haynes. "Applying Software Engineering to Agent Development." AI Magazine 31, no. 2 (2010): 25. http://dx.doi.org/10.1609/aimag.v31i2.2214.

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Developing intelligent agents and cognitive models is a complex software engineering activity. This article shows how all intelligent agent creation tools can be improved by taking advantage of established software engineering principles such as high-level languages, maintenance-oriented development environments, and software reuse. We describe how these principles have been realized in the Herbal integrated development environment, a collection of tools that allows agent developers to exploit modern software engineering principles.

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Wang, Chun Yan, Li Ge, and Wen Hong Liu. "Research on the Agent Oriented Software Design Engineering." Advanced Materials Research 926-930 (May 2014): 2402–5. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2402.

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Agent oriented software engineering is a novel software paradigm that is considered as an important approach to supporting the development of complex software systems based on agent technology. Many attentions had been paid by researchers in academic; literature and practitioners in industry literature. In the past ten years, great progresses of agent oriented software engineering has been made. However, there are still a great number of problems that should be solved before it moves to industry application and its potentials should be exploited extensively. After investigating the background

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Molesini, Ambra, Andrea Omicini, and Mirko Viroli. "Environment in agent-oriented software engineering methodologies." Multiagent and Grid Systems 5, no. 1 (2009): 37–57. http://dx.doi.org/10.3233/mgs-2009-0118.

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7

Mao, Xinjun. "Agent-Oriented Software Engineering: Status and Challenges." Journal of Computer Research and Development 43, no. 10 (2006): 1782. http://dx.doi.org/10.1360/crad20061016.

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8

Gomez-Sanz, Jorge J., and Ruben Fuentes. "Agent oriented software engineering with web applications." International Journal of Web Engineering and Technology 1, no. 4 (2004): 471. http://dx.doi.org/10.1504/ijwet.2004.006271.

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BAUER, BERNHARD, JÖRG P. MÜLLER, and JAMES ODELL. "AGENT UML: A FORMALISM FOR SPECIFYING MULTIAGENT SOFTWARE SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 11, no. 03 (2001): 207–30. http://dx.doi.org/10.1142/s0218194001000517.

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To gain wider acceptance for the use of agents in industry, it is a necessity to relate it to the nearest antecedent technology (object-oriented software development) and to introduce appropriate artifacts to support the development environment throughout the full system life cycle. We address both of these requirements by presenting AGENT UML, the Agent UML (Unified Modeling Language) — a set of UML idioms and extensions. This paper provides an AGENT UML representation of the internal behavior of an agent; it then relates this internal description to the external behavior of the agent by usin

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10

Fischer, Klaus, Christian Hahn, and Cristian Madrigal Mora. "Agent-oriented software engineering: a model-driven approach." International Journal of Agent-Oriented Software Engineering 1, no. 3/4 (2007): 334. http://dx.doi.org/10.1504/ijaose.2007.016265.

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11

Beydoun, Ghassan, and Graham Low. "Centering ontologies in agent oriented software engineering processes." Complex & Intelligent Systems 2, no. 3 (2016): 235–42. http://dx.doi.org/10.1007/s40747-016-0025-5.

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12

WEIß, GERHARD. "Agent orientation in software engineering." Knowledge Engineering Review 16, no. 4 (2001): 349–73. http://dx.doi.org/10.1017/s026988890100025x.

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Agent-Oriented Software Engineering (AOSE) is rapidly emerging in response to urgent needs in both software engineering and agent-based computing. While these two disciplines coexisted without remarkable interaction until some years ago, today there is rich and fruitful interaction among them and various approaches are available that bring together techniques, concepts and ideas from both sides. This article offers a guide to the broad body of literature on AOSE. The guide, which is intended to be of value to both researchers and practitioners, is structured according to key issues and key top

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13

Leong, Peter, Chunyan Miao, and Bu Sung Lee. "A survey of agent-oriented software engineering for service-oriented computing." International Journal of Web Engineering and Technology 4, no. 3 (2008): 367. http://dx.doi.org/10.1504/ijwet.2008.019539.

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14

BERGENTI, FEDERICO, and AGOSTINO POGGI. "SUPPORTING AGENT-ORIENTED MODELLING WITH UML." International Journal of Software Engineering and Knowledge Engineering 12, no. 06 (2002): 605–18. http://dx.doi.org/10.1142/s0218194002001086.

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Software engineering relies on the possibility of describing a system at different levels of abstraction. Agent-oriented software engineering introduces a new level of abstraction, that we called agent level, to allow the architect modelling a system in terms of interacting agents. This level of abstraction is not supported by an accepted set of tools and notations yet, even if a number of proposals are available. This paper introduces: (i) An UML-based notation capable of modelling a system at the agent level and (ii) A development framework, called ParADE, exploiting such a notation. The not

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15

Abdalla, Reem, and Alok Mishra. "Agent-Oriented Software Engineering Methodologies: Analysis and Future Directions." Complexity 2021 (December 29, 2021): 1–21. http://dx.doi.org/10.1155/2021/1629419.

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The Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. Agent-based computing represents effective modeling, programming, and simulation paradigm to develop IoT systems. Agent concepts, techniques, methods, and tools are being used in evolving IoT systems. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. Yet a comprehensive and full-fledged agent approach for developing related projects is still lacking despite th

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Saeed Zamani, Ramin Nassiri, and Sam Jabbehdari. "A New Test Process in Agent-oriented Software Engineering." International Journal of Advancements in Computing Technology 3, no. 7 (2011): 1–9. http://dx.doi.org/10.4156/ijact.vol3.issue7.1.

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17

Zambonelli, Franco, and Andrea Omicini. "Challenges and Research Directions in Agent-Oriented Software Engineering." Autonomous Agents and Multi-Agent Systems 9, no. 3 (2004): 253–83. http://dx.doi.org/10.1023/b:agnt.0000038028.66672.1e.

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18

Taveter, Kuldar, Hongying Du, and Michael N. Huhns. "Engineering societal information systems by agent-oriented modeling." Journal of Ambient Intelligence and Smart Environments 4, no. 3 (2012): 227–52. http://dx.doi.org/10.3233/ais-2012-0149.

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19

CAO, L. B., and R. W. DAI. "AGENT-ORIENTED METASYNTHETIC ENGINEERING FOR DECISION MAKING." International Journal of Information Technology & Decision Making 02, no. 02 (2003): 197–215. http://dx.doi.org/10.1142/s0219622003000598.

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Decision making plays a more and more important role in present society, especially in dealing with open complex giant systems, such as macroeconomic decision making. A feasible and effective approach for dealing with the increasingly remarkable decision making problems, in particular open complex giant systems, is to construct a Hall for Workshop of Metasynthetic Engineering (HWME), which is essentially an open giant intelligent decision support system in itself. On the other hand, the emergent agent technology is proposed and popularized as a new computing paradigm for building complex softw

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20

Mao, Xinjun, Qiuzhen Wang, and Sen Yang. "A survey of agent-oriented programming from software engineering perspective." Web Intelligence 15, no. 2 (2017): 143–63. http://dx.doi.org/10.3233/web-170357.

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21

Kolp, Manuel, Stéphane Faulkner, and Yves Wautelet. "Social Structure Based Design Patterns for Agent-Oriented Software Engineering." International Journal of Intelligent Information Technologies 4, no. 2 (2008): 1–23. http://dx.doi.org/10.4018/jiit.2008040101.

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22

Molesini, Ambra, Matteo Casadei, Andrea Omicini, and Mirko Viroli. "Simulation in Agent-Oriented Software Engineering: The SODA case study." Science of Computer Programming 78, no. 6 (2013): 705–14. http://dx.doi.org/10.1016/j.scico.2011.09.007.

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23

Juneidi, S. J., and G. A. Vouros. "Survey and Evaluation of Agent-Oriented Software Engineering Main Approaches." International Journal of Modelling and Simulation 30, no. 1 (2010): 1–13. http://dx.doi.org/10.1080/02286203.2010.11442552.

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24

Cossentino, Massimo, Nicolas Gaud, Vincent Hilaire, Stéphane Galland, and Abderrafiâa Koukam. "ASPECS: an agent-oriented software process for engineering complex systems." Autonomous Agents and Multi-Agent Systems 20, no. 2 (2009): 260–304. http://dx.doi.org/10.1007/s10458-009-9099-4.

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25

Garcia, Alessandro F., Carlos J. P. de Lucena, and Donald D. Cowan. "Agents in object-oriented software engineering." Software: Practice and Experience 34, no. 5 (2004): 489–521. http://dx.doi.org/10.1002/spe.578.

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26

Emek, Sevcan, Vedat Evren, and Şebnem Bora. "Simulation of glucose regulating mechanism with an agent-based software engineering tool." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 9, no. 3 (2019): 15–20. http://dx.doi.org/10.11121/ijocta.01.2019.00685.

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This study provides a detailed explanation of a regulating mechanism of the blood glucose levels by an agent-based software engineering tool. Repast Simphony which is used in implementation of this study is an agent-based software engineering tool based on the object-oriented programming using Java language. Agent-based modeling and simulation is a computational methodology for simulating and exploring phenomena that includes a large set of active components represented by agents. The agents are main components situated in space and time of agent-based simulation environment. In this study, we

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27

Luck, Michael, and Lin Padgham. "Report from the Eighth Agent-Oriented Software Engineering Workshop, AAMAS 2007." International Journal of Agent-Oriented Software Engineering 1, no. 3/4 (2007): 498. http://dx.doi.org/10.1504/ijaose.2007.016270.

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28

Ahmad, R., and S. Rahimi. "Motivation for a new formal framework for agent-oriented software engineering." International Journal of Agent-Oriented Software Engineering 3, no. 2/3 (2009): 252. http://dx.doi.org/10.1504/ijaose.2009.023639.

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29

Gómez-Sanz, Jorge, and Juan Pavón. "Methodologies for Developing Multi-Agent Systems." JUCS - Journal of Universal Computer Science 10, no. (4) (2004): 359–74. https://doi.org/10.3217/jucs-010-04-0359.

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As agent technology has matured with the deployment of a variety of applications, particularly in open and dynamic environments such as the web, several methodologies and tools have been proposed to support software engineers during the development process of such systems. This article takes an overall look at representative agent-oriented methodologies by considering how they support specific agent-related concepts. This serves to identify areas in which this technology has shown its potential to solve new problems, e.g., the ability to manage complexity with an organizational perspective, go

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30

Varinder Kaur Attri, Aanchal Bawa,. "A Study of Tools Used in Implement Agent Oriented Software Engineering." International Journal of Innovative Research in Computer and Communication Engineering 03, no. 05 (2015): 4016–20. http://dx.doi.org/10.15680/ijircce.2015.0305040.

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31

Deloach, Scott A., Eric T. Matson, and Yonghua Li. "Exploiting Agent Oriented Software Engineering in Cooperative Robotics Search and Rescue." International Journal of Pattern Recognition and Artificial Intelligence 17, no. 05 (2003): 817–35. http://dx.doi.org/10.1142/s0218001403002666.

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This paper reports our progress in applying multiagent systems analysis and design in the area of cooperative robotics. In this paper, we apply the Multiagent Systems Engineering (MaSE) methodology to design a team of autonomous, heterogeneous search and rescue robots. MaSE provides a top-down approach to building cooperative robotic systems instead of the bottom-up approach employed in most robotic implementations. We follow the MaSE steps and discuss various approaches and their impact on the final system design.

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32

Lucena, Carlos, and Ingrid Nunes. "Contributions to the emergence and consolidation of Agent-oriented Software Engineering." Journal of Systems and Software 86, no. 4 (2013): 890–904. http://dx.doi.org/10.1016/j.jss.2012.09.016.

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33

Prachi, Prachi, Sukhvir Singh, and Richa Setiya. "Agent Oriented Software Engineering Methodology for Prioritizing the needs of Customers." International Journal of Computer Applications 49, no. 8 (2012): 49–53. http://dx.doi.org/10.5120/7651-0745.

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34

RANJAN, PRABHAT, and A. K. MISRA. "A NOVEL APPROACH OF REQUIREMENT GATHERING AND ANALYSIS FOR AGENT ORIENTED SOFTWARE ENGINEERING (AOSE)." International Journal of Software Engineering and Knowledge Engineering 19, no. 01 (2009): 79–111. http://dx.doi.org/10.1142/s0218194009004064.

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In this paper, an agent-based open and adaptive system development process has been proposed which continuously change and evolve to meet new requirements. The proposed methodology is based on a model-based technique that provides a specific model for the type of information to be gathered and uses this model to drive the domain specific analysis process. The focus is on a clear separtion between the requirement gathering and analysis phases. The analysis methodology further splits the analysis phase into the user_centric analysis and the system_centric analysis phases. Optimization of the sys

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35

Weyns, Danny, and Jörg P. Müller. "Introduction to the special issue on challenges in agent-oriented software engineering." Knowledge Engineering Review 30, no. 4 (2015): 373–74. http://dx.doi.org/10.1017/s0269888915000041.

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36

Zulkifli, S. Filzah, CW Shiang, N. Jali, and M. A. Khairuddin. "Modelling emotion expression through agent oriented methodology." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (2019): 972. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp972-977.

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<span>This paper presents Modelling Emotion Expression through Agent Oriented Methodology. Considering emotions of the intended users in the software engineering can uncover new requirements to improve and more accepted the system. While emotion is paying much attention nowadays, there is lacking systematic way to model the emotion based system. Without the systematic approach, it is hard to debug, design and develop an emotion based system. Since the emotional requirement of people has not being fully investigated, the research outcome propose the emotion modelling as part of the comple

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37

Oruc, Orcun, and Uwe Aßmann. "GasMASk Annotation-based Code Generator as an Embedded Domain-Specific Language in Collaborative Multi-Agent Systems." International Journal of Security, Privacy and Trust Management 10, no. 02 (2021): 1–16. http://dx.doi.org/10.5121/ijsptm.2021.10201.

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Multi-agent systems have evolved with their application framework, analysis approaches and design complexities over the past few decades. In order for programming software agents, you need to handle analysis, design and implementation together; furthermore, privacy and trust should be integrated externally into the agent-oriented applications. Current frameworks do not consider privacy, trust, and data integrity in agent applications. In this study, we propose a domain-specific language that can be used for agent behaviors that consist of roles, organizational entity, goals through annotation

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HUHNS, MICHAEL N. "INTERACTION-ORIENTED SOFTWARE DEVELOPMENT." International Journal of Software Engineering and Knowledge Engineering 11, no. 03 (2001): 259–79. http://dx.doi.org/10.1142/s0218194001000530.

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This paper describes a new approach to the production of robust software. We first motivate the approach by explaining why the two major goals of software engineering — correct software and reusable software — are not being addressed by the current state of software practice. We then describe a methodology based on active, cooperative, and persistent software components, i.e., agents, and show how the methodology produces robust and reusable software. We derive requirements for the structure and behavior of the agents, and report on preliminary experiments on applications based on the methodol

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Lavendelis, Egons, and Janis Grundspenkis. "Requirements analysis of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (2009): 37–47. http://dx.doi.org/10.2478/v10143-009-0003-0.

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Requirements analysis of Multi-Agent Based Intelligent Tutoring SystemsThe agent oriented software engineering research proposes general assumptions for agent oriented software development, while intelligent tutoring system (ITS) research proposes specific ITS architecture and other specific knowledge for ITS development. Both of these views should be taken into consideration while developing multi-agent based ITSs. Thus there is a need for specific approaches for all phases of agent based ITS development which take into consideration main ideas from both agent oriented software engineering an

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40

Kolp, Manuel, Adrien Coyette, and Stéphane Faulkner. "Specifying agent-oriented e-commerce software as organizational structures." Journal of Systems Science and Systems Engineering 13, no. 4 (2004): 450–68. http://dx.doi.org/10.1007/s11518-006-0176-9.

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41

LUCK, MICHAEL. "Foundations of multi-agent systems: issues and directions." Knowledge Engineering Review 12, no. 3 (1997): 307–8. http://dx.doi.org/10.1017/s026988899700310x.

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The last ten years have seen a marked increase of interest in agent-oriented technology, in several areas of computer science, including both software engineering and artificial intelligence. Agents are being used, and touted, for applications as diverse as personalised information management, electronic commerce, interface design, computer games, and management of complex commercial and industrial processes. Several deployed systems already use agent technology, and many more commercial and industrial applications are in development.

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42

Giorgini, Paolo. "Agent-Oriented software engineering report on the 4 th AOSE workshop (AOSE 2003)." ACM SIGMOD Record 32, no. 4 (2003): 117–19. http://dx.doi.org/10.1145/959060.959084.

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43

Peña, Joaquin, Christopher A. Rouff, Mike Hinchey, and Antonio Ruiz-Cortés. "Modeling NASA swarm-based systems: using agent-oriented software engineering and formal methods." Software & Systems Modeling 10, no. 1 (2009): 55–62. http://dx.doi.org/10.1007/s10270-009-0135-2.

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44

MOURATIDIS, HARALAMBOS, MICHAEL WEISS, and PAOLO GIORGINI. "MODELING SECURE SYSTEMS USING AN AGENT-ORIENTED APPROACH AND SECURITY PATTERNS." International Journal of Software Engineering and Knowledge Engineering 16, no. 03 (2006): 471–98. http://dx.doi.org/10.1142/s0218194006002823.

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In this paper we describe an approach for modeling security issues in information systems. It is based on an agent-oriented approach, and extends it with the use of security patterns. Agent-oriented software engineering provides advantages when modeling security issues, since agents are often a natural way of conceptualizing an information system, in particular at the requirements stage, when the viewpoints of multiple stakeholders need to be considered. Our approach uses the Tropos methodology for modeling a system as a set of agents and their social dependencies, with specific extensions for

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45

Pudāne, Māra, and Egons Lavendelis. "General Guidelines for Design of Affective Multi-Agent Systems." Applied Computer Systems 22, no. 1 (2017): 5–12. http://dx.doi.org/10.1515/acss-2017-0012.

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Abstract The paper presents general guidelines for designing affective multi-agent systems (affective MASs). The guidelines aim at extending the existing agent-oriented software engineering (AOSE) methodologies to enable them to design affective MASs. The reason why affective mechanisms need specific attention during the design is the fact that the way how both rational tasks and interactions are done differ based on the affective state of the agents. Thus, the paper extends the traditional design approaches with the design of affective mechanisms and includes them in the design of the system

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Sinkie, Mekuria, Tor Morten Gronli, Dida Midekso, and Abdullah Lakhan. "Joint Impact of Agents and Services in Enhancing Software Requirements Engineering." Electronics 12, no. 18 (2023): 3955. http://dx.doi.org/10.3390/electronics12183955.

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Requirements engineering (RE) is a significant aspect of system development stages in generating reliable software (SW). Despite RE’s decisive impact on project success, SW systems still fail since there is a perplexity in sorting out requirements correctly. Researchers have tried several paradigms to deal with the specified challenges, such as agent-oriented RE (AORE), model-based RE, and service-oriented RE (SORE). By investigating the limitations of the independent use of these paradigms, this research sets an objective that proposes a framework which integrates the two paradigms (agent and

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47

CAO, LONGBING. "INTEGRATING AGENT, SERVICE AND ORGANIZATIONAL COMPUTING." International Journal of Software Engineering and Knowledge Engineering 18, no. 05 (2008): 573–96. http://dx.doi.org/10.1142/s0218194008003805.

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Engineering open complex systems is challenging because of system complexities such as openness, the involvement of organizational factors and service delivery. It cannot be handled well by the single use of existing computing techniques such as agent-based computing and service-oriented computing. Due to the intrinsic organizational characteristics and the request of service delivery, an integrative computing paradigm combining agent, service, organizational and social computing can open complex systems more effectively engineering. In this paper, we briefly introduce an integrative computing

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48

M.Ibrahim, Najhan, and Mohd Fadzil Hassan. "MATHEMATICAL MODELING USING COORDINATION MECHANISMS FOR MULTI-AGENT SYSTEMS IN SERVICE ORIENTED ARCHITECTURE." Journal of Information Systems and Digital Technologies 1, no. 2 (2019): 48–63. http://dx.doi.org/10.31436/jisdt.v1i2.109.

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In software engineering, formal methods are mathematical based techniques used to provide the specification, development, and verification of software systems prior to the implementation. The formal methods have been used widely in software development because of its promising benefits in coherence degree and coordination between activities of software application. Coordination is a common issue in distributed cross-platform communications, which implemented in agent-based software. The study of the coordination problem is an important issue in the multi-agent system. In the current software d

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49

Abbas, Hosny A. "Exploiting the Overlapping of Higher Order." International Journal of Agent Technologies and Systems 6, no. 3 (2014): 32–57. http://dx.doi.org/10.4018/ijats.2014070102.

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Currently multi-agent systems (MAS, sometimes MASs) are receiving great attention as a promising approach for modeling, designing, and developing complex, decentralized and large-scale software systems. The captivating characteristics they provide such as decentralization, dynamic reorganization, self-organization, emergence, autonomy, etc., make them a perfect solution for handling current software systems challenges specially their unpredictable and highly changing working environments. Organization-centered MAS (OCMAS) are concerned with the modeling of MAS using higher order abstraction en

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Paay, Jeni, Sonja Pedell, Leon Sterling, Frank Vetere, and Steve Howard. "The Benefit of Ambiguity in Understanding Goals in Requirements Modelling." International Journal of People-Oriented Programming 1, no. 2 (2011): 24–49. http://dx.doi.org/10.4018/ijpop.2011070102.

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This paper examines the benefit of ambiguity in describing goals in requirements modelling for the design of socio-technical systems using concepts from Agent-Oriented Software Engineering (AOSE) and ethnographic and cultural probe methods from Human Computer Interaction (HCI). The authors’ aim of their research is to create technologies that support more flexible and meaningful social interactions, by combining best practice in software engineering with ethnographic techniques to model complex social interactions from their socially oriented life for the purposes of building rich socio-techno

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