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Improving Component Based Software Integration Testing Using Data Mining Technique

机译:使用数据挖掘技术改进基于组件的软件集成测试

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To increase rapid and high-quality product delivery, companies divide applications into different components and reuse these components to reduce complexity in product development. This increases agility and flexibility in continuous integration within limited resources. Consequently, interaction among reusable components results in mismatch of components specification and retrieval due to encapsulated functionalities. Therefore, most of the components-based software fail during integration testing. In this paper, we propose a framework for component based software specification and integration testing. The proposed framework considers multiple contexts for component specification and uses a data mining technique for improving the integration testing process. We evaluated the proposed framework using empirical study. The results show significant improvement for various parameters in the proposed framework as compared to traditional approaches of component based software development.
机译:为了增加快速和高质量的产品交付,公司将应用程序划分为不同的组件,然后重复使用这些组件以降低产品开发的复杂性。这样可以在有限资源内进行持续集成,从而提高敏捷性和灵活性。因此,由于封装的功能,可重用组件之间的交互导致组件规格和检索不匹配。因此,大多数基于组件的软件在集成测试期间都会失败。在本文中,我们提出了一个用于基于组件的软件规范和集成测试的框架。所提出的框架考虑了组件规格的多个上下文,并使用数据挖掘技术来改进集成测试过程。我们使用实证研究评估了提出的框架。结果表明,与基于组件的软件开发的传统方法相比,所提出的框架中的各种参数都有显着改善。

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