A New Method on Software Reliability Prediction

被引：2
|
作者：
Zhang Xiaonan [1 ,2 ]
Yang Junfeng [1 ]
Du Siliang [1 ]
Huang Shudong [3 ]
机构：
[1] China Elect Technol Grp Corp, Res Inst 28, Nanjing 210007, Jiangsu, Peoples R China
[2] PLA Univ Sci & Technol, Coll Field Engn, Nanjing 210007, Jiangsu, Peoples R China
[3] Jiangsu Posts & Telecommun Planning & Designing I, Nanjing 210007, Jiangsu, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2013年 / 2013卷
关键词：
SUPPORT VECTOR MACHINES;
D O I：
10.1155/2013/385372
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
As we all know, relevant data during software life cycle can be used to analyze and predict software reliability. Firstly, the major disadvantages of the current software reliability models are 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 are proposed, and the improved model is established. Lastly, 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 samples, which is more applicable for software reliability prediction.
引用
收藏
页数：8
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