西安理工大学学报2012，Vol.28Issue(1)：98-101,4.
一种基于PSO-SVR的软件可靠性评估方法
A Kind of Software Reliability Assessment Method Based on PSO-SVR
摘要
Abstract
In the process of software reliability modeling, if the support vector regression mechanism is simply used, it is likely that the difficulty in parameter selection and the uncertainty in experimental data themselves may lead to the realistic predicted results and low accuracy. For this reason, it is necessary to reference the multi -parameter optimization advantages of particle swarm algorithm to combine PSO and SVR optimization algorithm, to normalize the initial experimental data with hierarchical algorithms, and to reject the abnormal data and construct a software reliability assessment method based on PSO-SVR. Experimental results show that the prediction model based on PSO-SVR has a high precise and a suitable environment for software application.关键词
软件可靠性评估模型/向量回归/粒子群优化Key words
software reliability assessment model/ vector regression/ particle swarm optimization分类
信息技术与安全科学引用本文复制引用
何增郎,张毅坤,杨凯峰,张保卫..一种基于PSO-SVR的软件可靠性评估方法[J].西安理工大学学报,2012,28(1):98-101,4.基金项目
陕西省自然科学基金资助项目(2009JM8003-1) （2009JM8003-1）
陕西省教育厅专项基金资助项目(09JK679). （09JK679）
