计算机技术与发展Issue(6)：12-15,4.DOI:10.3969/j.issn.1673-629X.2015.06.003
基于K均值PSOABC的测试用例自动生成方法
Automatic Testcase Generation Method Based on PSOABC and K-means Clustering Algorithm
摘要
Abstract
To improve the automation ability of testcase generation in software testing is very important to guarantee the quality of soft-ware and reduce the cost of software. In this paper,propose an automatic testcase generation method based on particle swarm optimiza-tion,artificial bee colony algorithm and K-means clustering algorithm,and carry out the simulation experiments. The results show that the improved algorithm’ s efficiency is better and convergence ability is stronger than other algorithms such as particle swarm optimization and genetic algorithm in the automation ability of testcase generation.关键词
软件测试/测试用例/粒子群优化算法/人工蜂群算法/K均值聚类算法Key words
software testing/testcase/particle swarm optimization/artificial bee colony algorithm/K-means clustering algorithm分类
信息技术与安全科学引用本文复制引用
贾冀婷..基于K均值PSOABC的测试用例自动生成方法[J].计算机技术与发展,2015,(6):12-15,4.基金项目
国家自然科学基金资助项目(61050003) （61050003）
陕西省科技攻关计划项目(2009K08-26) （2009K08-26）
陕西省教育自然科学基金项目(09JK727) （09JK727）
