基于需求的自动黑盒测试生成

L. Tahat, A. Bader, Boris Vaysburg, B. Korel
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引用次数: 123

摘要

测试大型软件系统是非常费力和昂贵的。基于模型的测试生成技术用于自动生成大型软件系统的测试。然而,这些技术需要手工创建用于测试生成的系统模型。另外,生成的测试用例不与单个需求相关联。本文提出了一种基于需求的测试生成方法。该方法接受软件规范作为一组以文本和SDL格式表示的单独需求(业界的一种常见做法)。从这些需求中,自动创建系统模型,并将需求信息映射到模型。系统模型用于自动生成与单个需求相关的测试用例。提出了几种测试生成策略。该方法被扩展到与需求层次上的变更相关的基于需求的回归测试生成。我们最初的经验表明,这种方法可以在减少测试用例数量和提高测试套件质量方面提供显著的好处。
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Requirement-based automated black-box test generation
Testing large software systems is very laborious and expensive. Model-based test generation techniques are used to automatically generate tests for large software systems. However, these techniques require manually created system models that are used for test generation. In addition, generated test cases are not associated with individual requirements. In this paper, we present a novel approach of requirement-based test generation. The approach accepts a software specification as a set of individual requirements expressed in textual and SDL formats (a common practice in the industry). From these requirements, system model is automatically created with requirement information mapped to the model. The system model is used to automatically generate test cases related to individual requirements. Several test generation strategies are presented. The approach is extended to requirement-based regression test generation related to changes on the requirement level. Our initial experience shows that this approach may provide significant benefits in terms of reduction in number of test cases and increase in quality of a test suite.
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