A Comprehensive Approach for Designing Business-Intelligence Solutions with Multi-agent Systems in Distributed Environments

Qayumi, Karima; Norta, Alex

doi:10.1007/978-3-662-57932-9_4

Cited by 1 publication

(2 citation statements)

References 34 publications

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“…In another set of these papers, an evaluation framework is proposed for comparison of AOM. These frameworks are based on qualitative [29,[35][36][37][38], quantitative or statistical [39][40][41], or case-study based [42][43][44] comparison of AOM. Also, the AOM proposed in the literature cover di®erent phases of SDLC, are either general-purpose or for speci¯c domains and consider di®erent conceptual components.…”

Section: Resultsmentioning

confidence: 99%

“…Phase-based evaluation frameworks have attracted more attention than methodology-based evaluation frameworks. For example, [79] compares the origins, An evaluation framework covering a wide spectrum of SDLC is proposed by [44], including requirements (functional and non-functional), analysis, design, implementation and testing (veri¯cation and validation) phases. The evaluation is performed by comparing the methodologies by the level of coverage of each of these Table 2.…”

Section: Phase-based Evaluation Frameworkmentioning

confidence: 99%

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Agent-Oriented Methodologies Evaluation Frameworks: A Review

Jazayeri

Bass

2020

Int. J. Soft. Eng. Knowl. Eng.

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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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