基于搜索的突变检测方法的实现

M. Tuloli, B. Sitohang, B. Hendradjaya
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引用次数: 2

摘要

作为一种度量测试用例的方法,突变测试已经成为研究的一个主题,主要是使用基于搜索的方法对其进行优化。当时,还没有关于在突变检测中实施基于搜索的方法的潜在障碍的研究。在本文中,我们利用我们以前的工作,探讨了一些替代方法来处理突变冗余。我们使用缓存来提高突变测试工具的性能,但令人惊讶的是,缓存还有其他用途,用于度量基于搜索的方法。我们提出了使用两个替代指标来衡量基于搜索的突变过程:种群中唯一的未被检测到的突变,以及缓存已满时未被检测到的突变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the implementation of search based approach to mutation testing
As a method to measure a test case, mutation testing has become a subject of research, mostly about optimizing it using a search-based approach. At the time, there was no research about the potential obstacle of implementing a search-based approach in mutation testing. In this paper, using our previous work, we explored some alternative method to handle mutant redundancy. We use cache to improve our mutation testing tool performance, but surprisingly the cache can have other uses, to measure a search-based approach. We proposed the use of two alternative indicators to measure a search based mutation process: unique undetected mutant in population, and undetected mutant when the cache is full.
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