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

Bo-His Li, Chin-Yu Huang
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Abstract

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.
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一种基于贪婪的条件/决策覆盖测试准则修正方法
在软件回归测试期间,当我们执行测试用例减少和优先级排序时,目标程序的代码覆盖率是一个至关重要的因素。修改条件/决策覆盖率(MC/DC)是代码覆盖率中最严格、精度最高的标准之一,通常被认为是对关键软件进行充分测试的必要条件。过去,Hayhurst等人针对DO-178B a级软件提出了一种符合法规指导的MC/DC标准的实现方法。Hayhurst的MC/DC方法是为布尔表达式中的每个操作符(and, or, not, or xor)找到一些满足MC/DC标准的测试用例。然而,当使用Hayhurst的MC/DC方法来选择测试用例时,可能会有一些问题。在本文中,我们讨论了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。基于实际程序进行了一些实验,以评估和比较我们提出的方法和Hayhurst方法的性能。
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