The case for grammatical evolution in test generation.
Annual Conference on Genetic and Evolutionary Computation (GECCO)(2022)
摘要
Generating tests for software is an important, but difficult, task. Search-based test generation is promising, as it reduces the time required from human experts, but suffers from many problems and limitations. Namely, the inability to fully incorporate a tester's domain knowledge into the search, its difficulty in creating very complex objects, and the problems associated with variable length tests. This paper illustrates how Grammatical Evolution could address and provide a possible solution to each of these concerns.
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关键词
Automatic Test Generation, Search Based Software Testing, Grammatical Evolution
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