Software Quality Control Based on Genetic Algorithm
Software evaluation has a crucial role in the life cycle of software production system. Producing suitable data for testing the behavior of the software is a subject of many researches in software engineering. In this paper software quality control with criteria of covering application paths is considered and a new method based on genetic algorithm for generating optimal test data is proposed. In this algorithm, the fitness function, population production mechanism and other parameters of genetic algorithm is determined. In addition, the population production stopping criteria is based on critical edges of control flow graph.