Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2013, Article ID 385372, 8 pages
Research Article

A New Method on Software Reliability Prediction

1The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China
2College of Field Engineering, PLA University of Science and Technology, Nanjing 210007, China
3Jiangsu Posts & Telecommunications Planning and Designing Institute Co., Ltd., Nanjing 210007, China

Received 27 December 2012; Accepted 14 February 2013

Academic Editor: Zheng-Guang Wu

Copyright © 2013 Zhang Xiaonan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.