考试(生物学)
测试管理方法
试验设计
代码覆盖率
试验计划
诊断试验
测试用例
自动测试模式生成
作者
Zenghui Zhou,Zheng Zheng,Tsong Yueh Chen,Jinyi Zhou,Kun Qiu
标识
DOI:10.1109/met52542.2021.00018
摘要
Recently, metamorphic testing (MT) has been used to augment test datasets by inclusion of new (follow-up) test cases constructed from existing (source) test cases using metamorphic relations (MRs). It has been reported that the augmented test datasets usually have higher fault detection capabilities. It is natural to ask which contributes to the improvement of the fault detection capabilities. To investigate this issue, we conducted an empirical study on three DNN models by feeding 70,000 handwritten digits images, in which six sets of MRs were designed. We found that follow-up test cases have better fault detection capabilities than source test cases. Furthermore, the impacts of the amounts of follow-up test cases on the fault detection capabilities of the augmented test datasets were investigated.
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