基于K均值的软件测试集用例约简算法研究

Research of Software Testing Case Reduction Algorithm Based on K Means

摘要: 本文提出了一种基于模糊K均值的软件测试集用例约简算法, 尽可能的发现相似的用例, 旨在进行最大化的精简.实验结果表明, 此算法能够最小化约简用例集, 并且对比分析其他算法, 用例集覆盖范围最广泛, 错误率检测较高.

Abstract: In this paper, a software testing based on fuzzy K-means set case reduction algorithm, as far as possible find similar cases, aimed at maximizing streamlined. Experimental results show that the algorithm can minimize the reduction case set, and the analysis of other algorithms, the use case set covers the most extensive.