Component Reusability of a Software System based on Cohesion and Coupling

摘要: Background/Objectives: Module based software development provides one of the best ways for big projects. Project can easily be divided into different modules so that process is faster. In our approach we are determining reusable components a system and enhancing accuracy methods them. Method/Statistical Analysis: We using genetic algorithm fuzzy c mean to find cohesion coupling between on basis which reusability determined. Already existing projects collected technique was applied them determine those value f-measure calculated as factor comparison with previous techniques. Finding: have found by not only finding dependencies elements single package but also packages an already project makes from study. The combination two algorithms used identification classification functions, classes, sub in order out these yields higher compared methods.