Agent methodologies,Structural analysis,Case study,Meta modeling

The computer science and software engineering society have become one of the most progressive and significant domains within science as they have managed to stand firmly in the information technology since the 1990s. Throughout recent years agent technologies have been promoted rapidly and a rising number of processes, frameworks, and notions recommended in related scientific research.In turn, agent technology has many implementations and uses in problem-solving in a variety of areas, including shopping simulations, surveillance, system diagnosis, and remedial procedures. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. These approaches are evolutionary and specifically designed for agents and their particular properties. Yet, a comprehensive and fullfledged agent approach for developing related projects is still absent despite the presence of numerous agent-oriented methodologies. One of the moves towardsvi compensating for this issue is to compile the models of various available methodologies, ones that are comparable to the evolution of the Unified Modeling Language in the domain of object-oriented analysis and design. As these to have become defacto standards in software development. In line with this purpose, the present thesis attempts to comprehend the relationship among seven main agent-oriented methodologies. More specifically, we intend to assess and compare these seven approaches by conducting a feature analysis through examining the advantages and disadvantages of each competing process, structural analysis, a case study, and meta-model evaluation methods. This effort is made to address the important characteristics of agent approaches. Since the main objective of this thesis is to take a step forward in forming a unified agent-oriented software engineering methodology, we will include the positive features and avoid the undesired ones within seven distinguished agent methodologies.