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A study on a path-based strategy for selecting black-box generated test cases

机译:基于路径的黑盒生成测试用例选择策略研究

摘要

Various black-box methods for the generation of test cases have been proposed in the literature. Many of these methods, including the category-partition method and the classification-tree method, follow the approach of partition testing, in which the input domain is partitioned into subdomains according to important aspects of the specification, and test cases are then derived from the subdomains. Though comprehensive in terms of these important aspects, execution of all the test cases so generated may not be feasible under the constraint of tight testing resources. In such circumstances, there is a need to select a smaller subset of test cases from the original test suite for execution. In this paper, we propose the use of white-box information to guide the selection of test cases from the original test suite generated by a black-box testing method. Furthermore, we have developed some techniques and algorithms to facilitate the implementation of our approach, and demonstrated its viability and benefits by means of a case study.
机译:文献中已经提出了各种用于生成测试用例的黑盒方法。这些方法中的许多方法(包括类别-分区方法和分类树方法)都遵循分区测试的方法,其中根据规范的重要方面将输入域划分为子域,然后从测试域中得出测试用例。子域。尽管就这些重要方面而言是全面的,但是在严格的测试资源约束下,如此生成的所有测试用例的执行可能并不可行。在这种情况下,需要从原始测试套件中选择较小的测试用例子集进行执行。在本文中,我们建议使用白盒信息来指导从黑盒测试方法生成的原始测试套件中选择测试用例。此外,我们已经开发了一些技术和算法来促进我们方法的实施,并通过案例研究证明了其可行性和益处。

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