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Sequence and sequence-less T-way test suite generation strategy based on flower pollination algorithm

机译:基于花授粉算法的序列和序列少于T型试验套件生成策略

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In an attempt to ensure good-quality software, there is need to test all possible inputs. Owing to the fact that the exhaustive testing is hardly feasible, many software testing approaches has been proposed. Combinatorial Interaction Testing (CIT) is very promising technique to minimize the number of test cases. Although useful, most of exiting CIT strategies and tools focus on data inputs and assume ???sequence-less??? interactions between input parameters. However, reactive systems show sequence related behaviors and their faults may not expose if the sequence of inputs are not considered. In this paper, we propose a new t-way strategy (i.e. t refers to the degree of the combination) strategy, called Flower Strategy (FS), that addresses both sequence and sequence-less test generation. Experimental results show that FS produces test size.
机译:试图确保良好质量的软件,需要测试所有可能的输入。由于穷举测试不可行,已经提出了许多软件测试方法。组合互动测试(CIT)是最有前途的技术,可最大限度地减少测试用例的数量。虽然有用,但大多数出境的CIT策略和工具专注于数据输入并假设序列 - 更少???输入参数之间的交互。然而,如果不考虑输入序列,则反应系统显示序列相关行为,并且它们的故障可能不会暴露。在本文中,我们提出了一种新的T-Way策略(即,指的是组合的程度)策略,称为花策略(FS),其解决序列和序列的测试生成。实验结果表明FS产生测试尺寸。

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