Test oracle assessment and improvement

Test oracle assessment and improvement
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测试预言机评估和改进

DOI:
10.1145/2931037.2931062
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发表时间:
2016
期刊:
Proceedings of the 25th International Symposium on Software Testing and Analysis
影响因子:
--
通讯作者:
P. Tonella
P. Tonella
中科院分区:
--
文献类型:
--
作者:
Gunel Jahangirova;D. Clark;M. Harman;P. Tonella

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我们引入了一种通过降低假阳性和假否定性的发生率来评估和改善测试座的技术。我们证明,我们的方法始终可以导致实际和完美甲骨文之间的相互信息增加。我们的技术结合了测试案例生成,以揭示误报和突变测试以揭示假否定性。我们应用了将我们的Oracle改进技术实现的决策支持工具将其应用于五个现实世界的主题。实验结果表明,改进后甲壳的断层检测率平均增加了48.6%(比隐式甲骨文高出86%)。随后,开发人员确认并确定了研究系统中的三个实际裸露故障。
We introduce a technique for assessing and improving test oracles by reducing the incidence of both false positives and false negatives. We prove that our approach can always result in an increase in the mutual information between the actual and perfect oracles. Our technique combines test case generation to reveal false positives and mutation testing to reveal false negatives. We applied the decision support tool that implements our oracle improvement technique to five real-world subjects. The experimental results show that the fault detection rate of the oracles after improvement increases, on average, by 48.6% (86% over the implicit oracle). Three actual, exposed faults in the studied systems were subsequently confirmed and fixed by the developers.
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