Rotten Green Tests

J. Delplanque, Stéphane Ducasse, G. Polito, A. Black, Anne Etien
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引用次数: 14

Abstract

Unit tests are a tenant of agile programming methodologies, and are widely used to improve code quality and prevent code regression. A green (passing) test is usually taken as a robust sign that the code under test is valid. However, some green tests contain assertions that are never executed. We call such tests Rotten Green Tests. Rotten Green Tests represent a case worse than a broken test: they report that the code under test is valid, but in fact do not test that validity. We describe an approach to identify rotten green tests by combining simple static and dynamic call-site analyses. Our approach takes into account test helper methods, inherited helpers, and trait compositions, and has been implemented in a tool called DrTest. DrTest reports no false negatives, yet it still reports some false positives due to conditional use or multiple test contexts. Using DrTest we conducted an empirical evaluation of 19,905 real test cases in mature projects of the Pharo ecosystem. The results of the evaluation show that the tool is effective; it detected 294 tests as rotten—green tests that contain assertions that are not executed. Some rotten tests have been “sleeping” in Pharo for at least 5 years.
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腐烂的绿色测试
单元测试是敏捷编程方法的一部分,被广泛用于提高代码质量和防止代码回归。绿色(通过)测试通常被认为是测试代码有效的可靠标志。但是,一些绿色测试包含永远不会执行的断言。我们称这种测试为烂绿测试。腐朽的绿色测试代表了一种比失败的测试更糟糕的情况:它们报告被测试的代码是有效的,但实际上不测试该有效性。我们描述了一种通过简单的静态和动态呼叫现场分析相结合的方法来识别腐烂的绿色测试。我们的方法考虑了测试助手方法、继承助手和特征组合,并在一个名为DrTest的工具中实现。DrTest没有报告假阴性,但是由于有条件使用或多个测试上下文,它仍然报告一些假阳性。使用DrTest,我们对Pharo生态系统成熟项目中的19905个真实测试用例进行了实证评估。评价结果表明,该工具是有效的;它检测到294个测试为坏绿测试,其中包含未执行的断言。一些糟糕的测试已经在Pharo“沉睡”了至少5年。
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