A Model-Based Regression Testing Approach for Evolving Software Systems with Flexible Tool Support

Qurat-ul-ann Farooq, Muhammad Zohaib Z. Iqbal, Z. I. Malik, Matthias Riebisch
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引用次数: 54

Abstract

Model-based selective regression testing promises reduction in cost and labour by selecting a subset of the test suite corresponding to the modifications after system evolution. However, identification of modifications in the systems and selection of corresponding test cases is challenging due to interdependencies among models. State-based testing is an important approach to test the system behaviour. Unfortunately the existing state-based regression testing approaches do not care for dependencies of the state machines with other system models. This paper presents the tool support and evaluation of our state-based selective regression testing methodology for evolving state-based systems. START is an Eclipse-based tool for state-based regression testing compliant with UML 2.1 semantics. START deals with dependencies of state machines with class diagrams to cater for the change propagation. We applied the START on a case study and our results show significant reduction in the test cases resulting in reduction in testing time and cost.
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基于模型的灵活工具支持下演化软件系统回归测试方法
基于模型的选择性回归测试通过选择与系统演化后的修改相对应的测试套件的子集,承诺减少成本和劳动力。然而,由于模型之间的相互依赖性,识别系统中的修改和选择相应的测试用例是具有挑战性的。基于状态的测试是测试系统行为的一种重要方法。不幸的是,现有的基于状态的回归测试方法并不关心状态机与其他系统模型之间的依赖关系。本文介绍了我们的基于状态的选择性回归测试方法的工具支持和评估,用于不断发展的基于状态的系统。START是一个基于eclipse的工具,用于符合UML 2.1语义的基于状态的回归测试。START使用类图处理状态机的依赖关系,以满足变更传播的需要。我们将START应用于一个案例研究,我们的结果显示测试用例显著减少,从而减少了测试时间和成本。
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