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Random testing is inexpensive, but it can also be inefficient. We apply mutation analysis to evolve efficient sub domains for the input parameters of eight benchmark programs that are frequently used in testing research. The evolved sub domains can be used for program analysis and regression testing. Test suites generated from the optimised sub domains outperform those generated from random sub domains...
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