Refactoring: improving the design of existing code
Refactoring: improving the design of existing code
Extreme programming of multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
A Planning Component for RETSINA Agents
ATAL '99 6th International Workshop on Intelligent Agents VI, Agent Theories, Architectures, and Languages (ATAL),
Unit Testing in Java: How Tests Drive the Code
Unit Testing in Java: How Tests Drive the Code
Developing multiagent systems: The Gaia methodology
ACM Transactions on Software Engineering and Methodology (TOSEM)
Tropos: An Agent-Oriented Software Development Methodology
Autonomous Agents and Multi-Agent Systems
Challenges and Research Directions in Agent-Oriented Software Engineering
Autonomous Agents and Multi-Agent Systems
From PASSI to Agile PASSI: Tailoring a Design Process to Meet New Needs
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Extreme Programming Explained: Embrace Change (2nd Edition)
Extreme Programming Explained: Embrace Change (2nd Edition)
Process models for agent-based development
Engineering Applications of Artificial Intelligence
SUnit: a unit testing framework for test driven development of multi-agent systems
AOSE'06 Proceedings of the 7th international conference on Agent-oriented software engineering VII
Composition of a new process to meet agile needs using method engineering
Software Engineering for Multi-Agent Systems III
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The need for XP-like agile approaches that provide evolutionary development in a flexible way has been widely acknowledged in the AOSE area. Such approaches improve acceptability of agent-technology by industry. Evolutionary development of multi agent systems-MASs can only be applied successfully, if designs of the MASs being developed are improved throughout the development process. In this paper, we introduce a refactoring approach that can be used during evolutionary MAS development. The proposed refactoring approach makes it possible to develop MASs in an evolutionary way by managing the changes between the iterations of the evolutionary development process. Also, a case study that shows application of a refactoring technique during the evolutionary MAS development is introduced in the fifth section.