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Improving Multi-Objective Test Case Selection by Injecting Diversity in Genetic Algorithms
Software Engineering, IEEE Transactions , no. 4 (2015): 358-383
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A way to reduce the cost of regression testing consists of selecting or prioritizing subsets of test cases from a test suite according to some criteria. Besides greedy algorithms, cost cognizant additional greedy algorithms, multi-objective optimization algorithms, and multi-objective genetic algorithms (MOGAs), have also been proposed to...More
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