Software Testing Strategy Approach on Source Code Applying Conditional Coverage Method

Abstract

Software testing is an important activity of the software development process. Software testing is most efforts consuming phase in software development. One would like to minimize the effort and maximize the number of faults detected and automated test case generation contributes to reduce cost and time effort. Hence test case generation may be treated as an optimization problem In this paper we have used genetic algorithm to optimize the test case that are generated applying conditional coverage on source code. Test case data is generated automatically using genetic algorithm are optimized and outperforms the test cases generated by random testing.