Negative selection approach for equivalent mutant detection

Abstract

Mutation testing is not a new thing in software engineering studies nowadays. The researcher used this technique to assess the quality of test suite. Many researches already done and proved that this technique is more efficient compare to other approaches. In mutation testing, the important question is mostly about equivalent mutant. This is because the detection of equivalent mutant affects the result for mutation score. It is a must to compute a correct mutation score. So, to solve the problem, this paper introduced a method called negative selection. In particularly this approach is based on the self and non-self rules that function to detect abnormal behaviors of the program that contrast to the normal functioning of the system. We also present the algorithm and first empirical result.