同构回归测试:执行未覆盖的分支而不增加测试

Jie M. Zhang, Yiling Lou, Lingming Zhang, Dan Hao, Lu Zhang, Hong Mei
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引用次数: 21

摘要

在软件测试中,很难实现被测程序的高覆盖率,留下许多未被探索的行为。为了缓解这一问题,人们提出了各种自动化测试生成和增强方法,其中符号执行和基于搜索的技术最具竞争力,但每种技术都有需要解决的关键挑战。与之前的工作不同,我们提出了一种新的回归测试方法——同构回归测试,它通过创建其变体(即修改的程序)而不是生成测试来探索被测程序的行为。在本文中,我们通过一种名为ISON的方法首次实现了同构回归测试,该方法通过否定分支条件来创建程序变体。结果表明,ISON能够额外执行最初未覆盖的分支的5.3%到80.0%。此外,在回归测试的场景下,ISON还可以检测到许多没有被流行的自动化测试生成工具(例如,EvoSuite)检测到的错误。
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Isomorphic regression testing: executing uncovered branches without test augmentation
In software testing, it is very hard to achieve high coverage with the program under test, leaving many behaviors unexplored. To alleviate this problem, various automated test generation and augmentation approaches have been proposed, among which symbolic execution and search-based techniques are the most competitive, while each has key challenges to be solved. Different from prior work, we present a new methodology for regression testing --Isomorphic Regression Testing,which explores the behaviors of the program under test by creating its variants (i.e., modified programs) instead of generating tests. In this paper, we make the first implementation of isomorphic regression testing through an approach named ISON, which creates program variants by negating branch conditions. The results show that ISON is able to additionally execute 5.3% to 80.0% branches that are originally uncovered. Furthermore, ISON also detects a number of faults not detected by a popular automated test generation tool (i.e., EvoSuite) under the scenario of regression testing.
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