树预处理和测试结果缓存用于高效的分层增量调试

Renáta Hodován, Ákos Kiss, T. Gyimóthy
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引用次数: 16

摘要

自从引入最小化Delta调试算法以来,测试用例减少已经自动化了,但是提高减少的效率仍然是研究的重点。本文重点介绍了分层增量调试,这是对原始技术的改进,并描述了如何更改其输入树和缓存方法以提高效率。我们在6种不同输入格式的人工和真实测试用例上对提出的优化进行了评估,达到最小化结果所需的测试步骤数量平均减少了45%——最好的改进高达82%,速度提高了5倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tree Preprocessing and Test Outcome Caching for Efficient Hierarchical Delta Debugging
Test case reduction has been automated since the introduction of the minimizing Delta Debugging algorithm, but improving the efficiency of reduction is still the focus of research. This paper focuses on Hierarchical Delta Debugging, already an improvement over the original technique, and describes how its input tree and caching approach can be changed for higher efficiency. The proposed optimizations were evaluated on artificial and real test cases of 6 different input formats, and achieved an average 45% drop in the number of testing steps needed to reach the minimized results - with the best improvement being as high as 82%, giving a more than 5-fold speedup.
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