Presentation on Issues and Challenges in Evaluation of Agent-Oriented Software Engineering Methodologies By: kanika singhal

OUTLINE Introduction to AOSE AOSE Methodologies Comparison Framework Criteria Issues and Challenges Conclusion

Agent oriented software engineering Agent oriented software engineering (AOSE) is an efficient methodology for developing intelligent software system for open, complex and dynamic system. Agents and Multi-agents are currently most interesting topic of research field. There are many methodologies for developing agent based software system to face various challenging problems.

AOSE Methodologies MaSE Gaia Tropos Prometheus

Comparison Of AOSE Methodologies Nine major criteria of comparing AOSE methodology are: Concepts Upgradeability Modeling language Basic properties Mental attitudes Modeling Process Pragmatics Management

Concepts Usability Notation

Upgradability Scalability Dynamic structure Open system support Distribution

Modeling Language Clear and understandability Consistency Traceability Unambiguity

Basic property Autonomy Reactiveness / Proactiveness Concurrency

Mental attitude Mental attitudes

Process Deployment principles Process

Pragmatics Maturity Domain applicability

Management Cost estimation Management decision

Issues and Challenges in Evaluation of AOSE Open system support Traceability Concurrency Cost

Conclusion The proposed table compare four methodologies with many criteria it may be extended to improve more methodologies. The comprehensive comparative table is used to compare some key methodologies and also helpful to find suitable AOSE methodology for developing agent-oriented software systems.

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