现代电子技术2017，Vol.40Issue(21)：102-104,108,4.DOI:10.16652/j.issn.1004-373x.2017.21.028
基于改进粒子群算法的软件可靠性评估
Software reliability evaluation based on improved particle swarm optimization algorithm
李宁1
作者信息
- 1. 西安铁路职业技术学院,陕西 西安 710014
- 折叠
摘要
Abstract
The software reliability is an important standard of software quality evaluation. Since the traditional methods have the defects of low software reliability evaluation accuracy and incredible evaluation result,a software reliability evaluation model based on improved particle swarm optimization algorithm is put forward. The current research status of software reliability evaluation is analyzed. The software reliability evaluation model is established,and its parameters are solved with the improved particle swarm optimization algorithm. The performance of the model is analyzed with the specific experiment of software reliabili-ty evaluation. The experimental results show that the improved particle swarm optimization algorithm can evaluate the software re-liability accurately,and its evaluation result is much better than that of other software reliability evaluation models. It has high practical application value.关键词
软件质量/粒子群优化算法/可靠性评估模型/仿真实验Key words
software quality/particle swarm optimization algorithm/reliability evaluation model/simulation experiment分类
信息技术与安全科学引用本文复制引用
李宁..基于改进粒子群算法的软件可靠性评估[J].现代电子技术,2017,40(21):102-104,108,4.
