Genetic Algorithm and PSO Based Intelligent Software Reuse

Abstract:

Software Reuse can improve the development time, cost and quality of Software artifacts. The Storage of artifacts plays an important role of easy retrieval of the needed components according to the requirement. In this paper a great measure has been taken for the retrieval of relevant component from the Ontology based repository. Two famous evolutionary algorithms Genetic Algorithm and Particle Swarm Optimization algorithm were used for extraction of needed component. These two algorithms are separately used for component retrieval. Genetic Algorithm in Component Retrieval is best suited if the repository has more number of relevant components. PSO for Component search is best suited if the query is highly refined to get more relevant document. PSO is used for the mainly query expansion. These two methods are combined first the retrieved set of component is organized with the help of GA and PSO for best query expansion. Thus these two methods are combined for best precision and retrieval time for different sets of requirement query

• Periodical: Applied Mechanics and Materials (Volume 573)
• Pages: 612-617
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.573.612
• Online since: June 2014
• Authors: R. Jayasudha*, S. Subramanian, L. Sivakumar
• Keywords: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Software Reuse

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