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Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software

机译：使用Weka开源软件优化面向对象系统的测试用例生成

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摘要

Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO metrics are identified using feature selection techniques for generating test cases to cover fault proneness classes. In this methodology, only effective metrics are considered for assigning weights to test paths. The results indicate that the proposed methodology is effective and efficient as the average fault exposition potential of generated test cases is 90.16% and test cases execution time saving is 45.11%.
机译：故障倾向级别的检测有助于软件测试人员生成有效的类级别的测试用例。在本文中，提出了一种新技术，用于针对ant-1.7开源软件的优化测试用例生成。类级别的面向对象（OO）度量标准被认为是查找故障倾向性类的有效手段。作为案例研究，考虑使用开源软件ant-1.7评估提议的技术。拟议的数学模型是使用Weka开源软件选择有效的OO指标生成的同类模型中的第一个。使用功能选择技术来识别有效和无效的OO度量，以生成测试用例以覆盖故障倾向性类别。在这种方法中，仅考虑有效指标来为测试路径分配权重。结果表明，该方法是有效的，因为生成的测试用例的平均故障暴露潜力为90.16％，测试用例的执行时间节省了45.11％。

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