A New Method on Software Reliability Prediction
Joint Authors
Xiaonan, Zhang
Junfeng, Yang
Siliang, Du
Shudong, Huang
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xiaonan, Zhang& Junfeng, Yang& Siliang, Du& Shudong, Huang. 2013. A New Method on Software Reliability Prediction. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009209
Modern Language Association (MLA)
Xiaonan, Zhang…[et al.]. A New Method on Software Reliability Prediction. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1009209
American Medical Association (AMA)
Xiaonan, Zhang& Junfeng, Yang& Siliang, Du& Shudong, Huang. A New Method on Software Reliability Prediction. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009209
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009209
