Automated software testing using a metaheuristic technique based on Tabu search
Automated software testing using a metaheuristic technique based on Tabu search
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DOI：
10.1109/ase.2003.1240327
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发表时间：
2003-10
期刊：
影响因子：
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通讯作者：
Eugenia Díaz;J. Tuya;Raquel Blanco
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文献类型：
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作者：
Eugenia Díaz;J. Tuya;Raquel Blanco
使用自动生成软件测试用例的技术非常重要，因为它可以减少此过程的时间和成本。自动生成测试的最新方法使用元启发式搜索技术，即遗传算法和模拟退火。对于使用遗传算法来获得软件测试中的特定覆盖范围进行了大量研究，但没有使用元启发式 Tabu 搜索技术。在本文中，我们解释了如何创建一种将 Tabu 搜索与 Korel 链接方法相结合的有效测试技术。我们的技术自动生成测试数据，以获得软件测试中的分支覆盖率。
The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic generation of tests use metaheuristic search techniques, i.e. genetic algorithms and simulated annealing. There is a great deal of research into the use of genetic algorithms to obtain a specific coverage in software testing but there is none using the metaheuristic Tabu search technique. In this paper, we explain how we have created an efficient testing technique that combines Tabu search with Korel chaining approach. Our technique automatically generates test data in order to obtain branch coverage in software testing.