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A Greedy-Based Method for Modified Condition/Decision Coverage Testing Criterion

机译:一种基于贪婪的修改条件/决策覆盖测试标准方法

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During software regression testing, the code coverage of target program is a crucial factor while we perform test case reduction and prioritization. Modified Condition/Decision Coverage (MC/DC) is one of the most strict and high-accuracy criterion in code coverage and it is usually considered necessary for adequate testing of critical software. In the past, Hayhurst et al proposed a method to implement the MC/DC criterion that complies with regulatory guidance for DO-178B level A software. Hayhurst's MC/DC approach was to find some test cases which are satisfied by MC/DC criterion for each operator (and, or, not, or xor) in the Boolean expression. However, there could be some problems when using Hayhurst's MC/DC approach to select test cases. In this paper, we discuss how to improve and/or enhance Hayhurst's MC/DC approach by using a greedy-based method. Some experiments are performed based on real programs to evaluate as well as compare the performance of our proposed and Hayhurst's approaches.
机译:在软件回归测试期间,目标程序的代码覆盖是一个关键因素,而我们执行测试用例降低和优先级。修改条件/决策覆盖率(MC / DC)是代码覆盖中最严格和高精度的标准之一,通常认为对关键软件进行充分测试是必要的。过去,Hayhurst等人提出了一种实现MC / DC标准的方法,该方法符合DO-178B水平的监管指导。 Hayhurst的MC / DC方法是找到一些测试用例,该测试用例由布尔表达式中的每个运营商(以及,而不是,或非xor)的MC / DC标准满足。但是,在使用Hayhurst的MC / DC方法选择测试用例时可能存在一些问题。在本文中,我们讨论如何通过使用基于贪婪的方法来改进和/或增强Hayhurst的MC / DC方法。一些实验是基于真实计划来评估的,并比较我们提出的Hayhurst的方法的表现。

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