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Test selection techniques are used to reduce the human effort involved in software testing. Most research focusses on selecting efficient sets of test cases according to various coverage criteria for directed testing. We introduce a new technique to select efficient sets of subdomains from which new test cases can be sampled at random to achieve a high mutation score. We first present a technique for evolving multiple subdomains, each of which target a different group of mutants. The evolveddoi:10.1109/apsec.2013.23 dblp:conf/apsec/PatrickAOC13 fatcat:akl3wgdfijcm3ijj7szvol6qce