Science & Engineering Research Support soCiety (SERSC)
Testing is the one of the crucial phase that is performed during software development. It is done to validate the quality of the software testing using minimal cost, efforts and to generate high quality test cases. It is impossible to test software with all the possible inputs. Hence, there is a need to select and reduce test cases that will find as many faults as possible. This paper will describe a method for optimizing software testing Using hybrid meta-heuristics that is by the combination of particle swarm optimization technique and genetic algorithm, an algorithm has been proposed to find faults in software with reduced number of test cases in minimum time.