计算机与数字工程2013，Vol.41Issue(2)：163-164,185,3.
基于粒子群优化算法的软件测试数据生成研究
Research on Generation of Software Test Data Based on PSO
摘要
Abstract
Genetic algorithm(GA) is applied widely to automatic generation of software test data, but it has deficiencies such as difficult settings of its parameters and complexity of algorithm. Particle Swarm Optimization PSO) can get optimal solution easily and have characteristics of simple exectuion and less argument. This paper introduces a generation approach of software test data based on particle swarm optimization (PSO) algorithm and use it to judge equilateral triangle. The experimental results show PSO algorithm is more efficient than GA algorithm in generation of test data.关键词
软件测试/测试数据/遗传算法/粒子群优化算法Key words
software test/ test data/ genetic algorithm(GA)/ particle swarm optimization(PSO) algorithm分类
信息技术与安全科学引用本文复制引用
袁爱平,唐一韬,万灿军..基于粒子群优化算法的软件测试数据生成研究[J].计算机与数字工程,2013,41(2):163-164,185,3.基金项目
湖南省科技计划项目(编号:2008GK3085) （编号:2008GK3085）
湖南省十二五规划课题(编号:XJK011BXJ006)资助. （编号:XJK011BXJ006）
