An Experimental Evaluation of Selective Mutation
A.J. Offutt, G. Rothermel, and C. Zapf
Proceedings of the 15th International Conference on Software Engineering
January 1993, pages 100-107

Abstract

Mutation testing is a technique for unit-testing software that, although powerful, is computationally expensive. The principal expense of mutation is that many variants of the test program, called mutants, must be repeatedly executed. Selective mutation is a way to approximate mutation testing that saves execution by reducing the number of mutants that must be executed. This paper reports experimental results that compare selective mutation testing to standard, or non-selective, mutation testing. The results support the hypothesis that selective mutation is almost as strong as non-selective mutation; in experimental trials selective mutation provides almost the same coverage as non-selective mutation, with significant reductions in cost.