Generation of automatic test cases with mutation analysis and hybrid genetic algorithm

Software testing is one of the most important and expensive (in term of time and cost) phase of software development life cycle. Over the past few decades a lot of research has been done on automatic software testing process but due to dynamic memory allocation, software is very much unpredictable in behavior. Different Meta heuristic algorithms are applied for improving the efficiency of software testing process. Mutation testing is a one kind of the software testing in which some mutants are injected intently in the program/software and tester finds these mutants during testing process [4]. In this paper a Hybrid Genetic Algorithm is proposed for generating test data automatically using data flow testing approach for mutation testing.