摘要
讨论了传统软件可靠性预测模型的主要弱点;在分析传统PSO-SVM模型和软件可靠性预测特点的基础上,对传统PSO-SVM模型进行改进,建立了优化PSO-SVM软件可靠性预测模型。最后通过仿真结果表明,该优化预测模型具有更好的小样本适应性,训练速度快,预测精度高,能够更好地适用于软件可靠性预测。
The major disadvantages of the current software reliability models were discussed.And then based on analyzing classic PSO-SVM model and the characteristics of software reliability prediction,some measures of the improved PSO-SVM model were proposed and an improved model was established.Lastly,the simulation results show that compared with classic models,the improved model has better prediction precision,better generalization ability and lower dependence on the number of sample,which is more applicable for software reliability prediction.
出处
《计算机应用》
CSCD
北大核心
2011年第7期1762-1764,1772,共4页
journal of Computer Applications
关键词
粒子群优化算法
支持向量机
软件可靠性
预测
Particle Swarm Optimization(PSO)
Support Vector Machine(SVM)
software reliability
prediction