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Developing complex systems is generally simplified if designer is guided by method from Software Engineering. However a single engineering process is often not enough to cover all the possible requirements due to different levels of expertise and systems to design. Currently, Agent Oriented Software Engineering methods aim at providing an adaptive engineering process. The method processes have been broken up into different parts called fragments, enabling the mix of different engineering processes' parts to get better adequacy between the system to be done and the process. But some difficulties still remain concerning the expertise needed to compose these fragments when the amount of fragments prevents the composition to be done by hand. This paper presents an Adaptive Multi-Agent Systems (AMAS) to deal with a new paradigm of automated fragments combining. This process is made from both the characteristics of users and system and the known fragments. Thanks to their information, agents of the AMAS self-organise and design a tailored method process. The developed system is described and then usual tests are depicted.
Software systems are becoming more and more complex. A common dilemma faced by software engineers in building complex systems is the lack of method adaptability. However, existing agent-based methodologies and tools are developed for particular system and are not tailored for new problems. This paper proposes an architecture of a new tool based on SME for self-constructing customized method processes. Our approach is based on two pillars: the process fragment and the MAS meta-model. These two elements are both defined and considered under a specific agent-oriented perspective thus creating a peculiar approach. Our work is based on the self-organization of agents, making it especially suited to deal with highly dynamic systems such as the design of an interactive and adaptive software engineering process. 2 REQUIREMENTS AND CHARACTERISTICS OF SCoRe The contribution of the work lies in the selfadaptive multi-agent system implementation for selfcomposition and self-organization of method fragments. This section presents the challenges. 2.1 Adaptation While the demand for specific, complex and varied system continues to grow, current methods in the MAS domain remain limited and sometimes not well adapted e.g. (Cossentino et al., 2008). The need for well-defined guidelines that will make the development process more efficient and more effective has become crucial. Currently, there is no single methodology that can be uniquely pointed as "the best". Until
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