How to Overcome the Equivalent Mutant Problem and Achieve Tailored Selective Mutation Using Co-evolution

摘要: The use of Genetic Algorithms in evolution mutants and test cases offers new possibilities addressing some the main problems mutation testing. Most specifically problem equivalent mutant detection, large number produced. In this paper we describe above detail introduce a methodology based on co-evolutionary search techniques using order to address them effectively. Co-evolution allows parallel cases. We discuss advantages approach over other existing testing techniques, showing details initial experimental results carried out.