重新计算覆盖率信息以辅助回归测试

Pavan Kumar Chittimalli, M. J. Harrold
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引用次数: 18

摘要

本文展示了一种技术,它利用现有的回归测试选择算法来计算软件版本(Pi+1)上准确的、更新的覆盖率数据,而不需要重新运行任何不执行来自软件版本(Pi)的更改的测试用例。我们技术的用户可以避免在Pi+1上重新运行整个测试套件的费用,也可以避免以前估算Pi+1覆盖率数据的方法产生的不准确性,或者重用Pi中过时的覆盖率数据。本文还介绍了一个工具,RECOVER,它实现了我们的技术,以及一组实证研究。研究表明,当应用程序回归测试选择使用估计的和过时的覆盖率数据时,可能存在不准确性。研究还表明,我们的技术所带来的开销可以忽略不计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Re-computing Coverage Information to Assist Regression Testing
This paper presents a technique that leverages an existing regression test-selection algorithm to compute accurate, updated coverage data on a version of the software, Pi+1, without rerunning any test cases that do not execute the changes from the previous version of the software, Pi, to Pi+1-Users of our technique can avoid the expense of rerunning the entire test suite on Pi+1 or the inaccuracy produced by previous approaches that estimate coverage data for Pi+1 or reuse outdated coverage data from Pi. This paper also presents a tool, RECOVER, that implements our technique, along with a set of empirical studies. The studies show the inaccuracies that can exist when an application-regression-test selection-uses estimated and outdated coverage data. The studies also show that the overhead incurred by our technique is negligible.
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