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Agent-Oriented Methodologies Evaluation Frameworks: A Review
Journal article   Open access   Peer reviewed

Agent-Oriented Methodologies Evaluation Frameworks: A Review

Ali Jazayeri and Ellen J. Bass
International journal of software engineering and knowledge engineering, v 30(9), pp 1337-1370
01 Sep 2020
url
https://doi.org/10.1142/s0218194020500370View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Software Engineering Engineering Engineering, Electrical & Electronic Science & Technology Technology
Multi-agent systems and agent-oriented methodologies support analysis, characterization and development of complex software systems. These methodologies introduce different definitions for the essential components of multi-agent systems and cover different phases of the system development life cycle. Therefore, appropriate frameworks for evaluation and comparison of different methodologies would support developers to adopt the best methodology, or a combination of different methodologies, based on the project requirements. This review covers the system development phases and the main conceptual components in the context of multi-agent systems. Then, the evaluation frameworks proposed in the literature for comparison and evaluation of agent-oriented methodologies are reviewed. Evaluation frameworks proposed in the literature are categorized into three categories: methodology-based, phase-based and feature-based evaluation frameworks. The paper concludes with the agent-oriented methodologies' usage challenges, their current limitations and potential future directions.

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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Software Engineering
Engineering, Electrical & Electronic
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