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Evaluating several path-based partial dynamic analysis methods for selecting black-box generated test cases

机译:评估几种用于选择黑盒生成的测试用例的基于路径的局部动态分析方法

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Many systematic methods help to produce a comprehensive repository of test cases that contain no redundancy from the specification point of view. When the repository cannot be tested in its entirety owing to resource constraints, there is a need to select a smaller subset of test cases that are effective with respect to a given implementation. One way of doing so is to select only one from each pair of test cases that are judged to be processed similarly by the given implementation, as determined by partial dynamic analysis. This work examines several path-based partial dynamic analysis methods for the selection of specification-based test cases, and evaluates their effectiveness by experiments.
机译:从规范的角度来看,许多系统的方法有助于生成一个完整的测试用例存储库,其中不包含任何冗余。当由于资源限制而无法对存储库进行整体测试时,需要选择较小的测试用例子集,这些子集对于给定的实现是有效的。这样做的一种方法是从每对测试用例中选择仅一个,该对用例被判断为由给定的实现方式进行了类似的处理,这是由部分动态分析确定的。这项工作研究了几种基于路径的局部动态分析方法,用于选择基于规范的测试用例,并通过实验评估了它们的有效性。

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