Optimization of Software Component Selection which is considered intricate chore during Component Based Software Engineering is considered in this paper. Subset of components is supposed to be chosen in order to confirm whether components are gratifying the prerequisite of system where these components would be integrated during software selection. Selected components are supposed to be attuned and accommodating according to assumption of Engineer. Soft computing techniques for instance Genetic Algorithm, Neural-Network, Support Vector Machine, and Artificial Bee Colony are recurrently used to optimize the software component selection system. Presentation of PSO, ALO, MVO, ACO and Neuro fuzzy logic integrated module is made in this paper considering inadequacy of existing research and extent of incorporation of these techniques to soft computing mechanism in CBSE.

Index Terms- Component-based Software Engineering, Particle Swarm Optimization, ALO, MVO, Ant Colony Optimization, Neuro Fuzzy Logic, Optimization