Optimal Software Architecture Design Based on Responsibilities Using Adaptive Genetic Algorithm


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Abstract


The software architecture of a program or computing system is the structure or structures of the system, which comprise software elements, the externally visible properties of those elements, and the relationships among them.  Software architecture is developed during the early phases of the development process; it hugely constraints or facilitates the achievement of specific functional requirements, nonfunctional requirements, and business goals. The software architecture can be designed based on the quality attributes, performance, security and manageability. Meta heuristic search algorithm plays a vital role in the software architecture design. In traditional architecture design, the software architect has the requirements for the system, and attempts to piece the respective operations together so the solution reaches high values when “measured” by some attributes. In our research, the Adaptive Genetic Algorithm actually evaluates a large number of architectures simultaneously, based on the responsibilities and dependency values obtained from the Dependency graph. The experimental results shown that the proposed AGA based Software architecture design is compared with conventional genetic algorithm design in terms of time.
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Keywords


Software Architecture; Responsibility; Dependency Graph; Meta Heuristic Search Algorithms; Genetic Algorithm

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