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Mutation testing is effective at measuring the adequacy of a test suite, but it can be computationally expensive to apply all the test cases to each mutant. Previous research has investigated the effect of reducing the number of mutants by selecting certain operators, sampling mutants at random, or combining them to form new higher-order mutants. In this paper, we propose a new approach to the mutant...
Mutation testing is a powerful and flexible test technique. Traditional mutation testing makes a small change to the syntax of a description (usually a program) in order to create a mutant. A test set is considered to be good if it distinguishes between the original description and all of the (functionally nonequivalent) mutants. These mutants can be seen as representing potential small slips and...
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