COMPARISON OF TEST CASES USING GENETIC ALGORITHM IN SOFTWARE TESTING

Abstract

The limit of particularly offering encoded data to different customers through open cloud storage may This paper presents a set of methods that uses a software testing technique in genetic algorithm for a automatic test-data generation. These test case generations are used in evaluate the fitness function in genetic algorithm for selecting the best test case methods. In use a genetic algorithm to generate test cases for evaluating the fitness function in the case generation methods. In use of test cases in genetic algorithm to calculate the fitness function to improve the performance. To aim of the research paper is to implement in genetic algorithm to reduce the cost, time and effort and to minimization of test cases to deliver the good quality software.