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Multi-objective regression test suite optimization with Fuzzy logic

机译:模糊逻辑的多目标回归测试套件优化

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Regression Testing is performed on already tested programs to ensure that modifications have not revealed defects into the unmodified portions of programs. Regression Test Suites are always growing due to addition of Test Cases. Many broken and redundant test cases are also part of regression test suites. Running the all regression test suite is always not feasible; therefore optimization of regression test suites is required to meet the constraints. In this work we proposed multi-objective optimization of regression test suites with Fuzzy Logic (Sugeno Model) for Black Box based testing methods. Proposed approach was implemented on two published case studies. Results indicates that optimization can be achieved by using Fuzzy Logic that is a safe technique for optimization and we can reduce the execution time and size of regression test suites up to 50%.
机译:对已经测试过的程序执行回归测试,以确保修改未在程序的未修改部分中揭示缺陷。由于增加了测试用例,回归测试套件始终在增长。许多损坏和冗余的测试用例也是回归测试套件的一部分。运行all回归测试套件总是不可行的。因此,需要优化回归测试套件来满足约束条件。在这项工作中,我们针对基于黑匣子的测试方法提出了使用模糊逻辑(Sugeno模型)的回归测试套件的多目标优化。在两个已发表的案例研究中实施了提议的方法。结果表明,使用模糊逻辑可以实现优化,模糊逻辑是一种安全的优化技术,我们可以将执行时间和回归测试套件的大小减少多达50%。

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