The research of test-suite reduction technique

Cui Donghua, Yin Wenjie
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引用次数: 8

Abstract

Ant colony algorithm is a bionic optimization algorithm, it can solve combinatorial problems effectively. For the problem of the test suite reduction, this algorithm could find the balance point between the speed and the accuracy of solution. Unlike other existing algorithms, this algorithm used test cost criteria, as well as the test coverage criteria. Finally, the paper presented the results, the results is given by the others classical algorithms compared with this algorithms. The results show that this algorithm can significantly reduce the size and the cost of the test-suite, and achieved higher effectiveness of test-suite minimization.
测试套件缩减技术的研究
蚁群算法是一种仿生优化算法,它能有效地解决组合问题。对于测试集约简问题,该算法能够在求解速度和精度之间找到平衡点。与其他现有的算法不同,该算法使用了测试成本标准,以及测试覆盖率标准。最后给出了实验结果,并将其他经典算法的结果与本算法进行了比较。结果表明,该算法可以显著减小测试套件的大小和成本,实现了更高的测试套件最小化效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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