The development of an effective and efficient method for generatingtestdata is an extremely challenging process which directly impacts the time that could be spent on activities relevant to software testing. Therefo...
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ISBN:
(纸本)9781467315098
The development of an effective and efficient method for generatingtestdata is an extremely challenging process which directly impacts the time that could be spent on activities relevant to software testing. Therefore, various researches related to this area have been carried out. Among the techniques for automatically generatingtestdata, we highlight the use of metaheuristics, a promising area called Search-Based Software testing (SBST). Thus, this article proposes the use of an Elitist Genetic Algorithm (GA) as a tool for generation and selection of testdata applied in Mutation testing for different benchmarks. The results indicate a good performance of the algorithm used in the benchmarks.
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