A model-based regression test selection technique

L. Naslavsky, H. Ziv, D. Richardson
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引用次数: 36

Abstract

Throughout their life cycle, software artifacts are modified, and selective regression testing is used to identify the negative impact of modifications. Code-based regression test selection retests test cases sub-set that traverse code modifications. It uses recovered relationships between code parts and test cases that traverse them to locate test cases for retest when code is modified. Broad adoption of model-centric development has created opportunities for software testing. It enabled driving testing processes at higher abstraction levels and demonstrating code to model compliance by means of Model-Based Testing (MBT). Models also evolve, so an important activity of MBT is selective regression testing. It selects test cases for retest based on model modification, so it relies on relationships between model elements and test cases that traverse those elements to locate test cases for retest. We contribute an approach and prototype that during test case generation creates fine-grained traceability relationships between model elements and test cases, which are used to support model-based regression test selection.
一种基于模型的回归测试选择技术
在整个生命周期中,软件工件被修改,选择性回归测试被用来识别修改的负面影响。基于代码的回归测试选择重新测试遍历代码修改的测试用例子集。它使用恢复的代码部分和测试用例之间的关系,遍历它们来定位测试用例,以便在代码被修改时进行重新测试。以模型为中心的开发的广泛采用为软件测试创造了机会。它支持在更高的抽象级别上驱动测试过程,并通过基于模型的测试(MBT)的方法演示代码以实现模型遵从性。模型也在进化,所以MBT的一个重要活动是选择性回归测试。它根据模型修改选择测试用例进行重新测试,因此它依赖于模型元素和遍历那些元素的测试用例之间的关系来定位用于重新测试的测试用例。我们提供了一种方法和原型,它在测试用例生成过程中创建了模型元素和测试用例之间的细粒度跟踪关系,用于支持基于模型的回归测试选择。
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