Fault detection effectiveness of mutation and data flow testing
Fault detection effectiveness of mutation and data flow testing
复制标题
突变和数据流测试的故障检测有效性
作者：
W.;Eric;’. Wong;Aditya;P.;Mathur
我们报告了一个实验结果，以比较突变、其变体和所有用途数据流标准的故障检测效率。充分的测试集是随机生成的，而不是像以前的一些研究中那样由人工测试人员生成。我们根据早期比较突变和面向路径的测试策略的研究来看待我们的结果。我们确定并讨论了在评估实践中使用的充分性标准时可能考虑的因素。我们的实验结果强化了一个假设，即基于两种突变变体之一的充分性标准比通用标准具有更好的故障检测效率。
We report results from an experiment to compare the fault detection effectiveness of mutation, its variants and the all-uses data flow criteria. Adequate test sets were generated randomly, as opposed to by human testers as in some previous studies. We view our results in the light of those from earlier studies comparing mutation with path-oriented testing strategies. We identify and discuss factors that one might consider while evaluating an adequacy criterion for use in practice. Results from our experiments strengthen a hypothesis that an adequacy criterion based on one of the two variants of mutation has superior fault detection effectiveness than that of the all-uses criterion.