An efficient approach for evolution of functional requirements to improve the quality of software architecture

Abstract

Software architecture will be designed within the early phases combined with the development process; the huge constraints makes it possible for the achievement of certain functional requirements, quality attributes (non-functional requirements), and also business goals. Metaheuristic search algorithm performs an important role within the software architecture design to improve the performance of obtaining an optimal solution from the huge search space. This particular paper mainly focusses on balancing the combinations of “Adaptive Genetic algorithm,” which has to be applied. It has incorporated the usage of roulette wheel selection operators; this technique is implemented in java and it also finds out global minima as well as time reduction when compared with Genetic algorithm.