Master Thesis An Approach to Improve Multi-agent System Architecture Design by Minimizing Complexity Aspects

Abstract

The efficiency of multi-agent system (MAS) design mainly relies on the quality of a conceptual architecture. Thereby, the quality substantially influences the software system architecture, and plays a key role in the description of the initial architecture. Hence, quality properties, such as understandability, complexity, readability, testability, maintainability, reusability, etc should be considered at an early stage in the software development process. It is worth noticing that, large systems such as multi agents systems require many communications and interactions to fulfill their tasks, which may leads to complexity of architecture design (AD). This thesis attempts to clarify the complexity situations that might happen during the description of architecture design through many aspects represented in the abstraction, modularity, and modeling by introducing an approach that aims to put a set of guidelines to minimize the effects of complexity, provides clarification for each guideline and guides agent systems developers in order to design architectures with high quality, low complexity and understandable. The approach is applied on a case study to books recommendations system which based on multi agent systems where the complexity is measured by complexity task measurement (CTM) which based on use case point method. The solution has also displayed the complexity results before and after applying the approach.