Strong higher order mutation-based test data generation
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Mutation based test case generation via a path selection strategy
Information and Software Technology
Mutation testing strategies using mutant classification
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Various mutation approximation techniques have been proposed in the literature in order to reduce the expenses of mutation. This paper presents results from an empirical study conducted for first and second order mutation testing strategies. Its scope is to evaluate the relative application cost and effectiveness of the different mutation strategies. The application cost was based: on the number of mutants, the equivalent ones and on the number of test cases needed to expose them by each strategy. Each strategy's effectiveness was evaluated by its ability to expose a set of seeded faults. The results indicate that on the one hand the first order mutation testing strategies can be in general more effective than the second order ones. On the other hand, the second order strategies can drastically decrease the number of the introduced equivalent mutants, generally forming a valid cost effective alternative to mutation testing.