DocumentCode
3419559
Title
Prediction of software reliability using neural networks
Author
Karunanithi, N. ; Malaiya, Y.K. ; Whitley, D.
Author_Institution
Dept. of Comput. Sci., Colorado State Univ., Fort Collins, CO, USA
fYear
1991
fDate
17-18 May 1991
Firstpage
124
Lastpage
130
Abstract
Software reliability growth models have achieved considerable importance in estimating reliability of software products. The authors explore the use of feed-forward neural networks as a model for software reliability growth prediction. To empirically evaluate the predictive capability of this new approach, data sets from different software projects are used. The neural networks approach exhibits a consistent behavior in prediction and the predictive performance is comparable to that of parametric models
Keywords
neural nets; software reliability; data sets; feed-forward neural networks; neural networks approach; parametric models; predictive capability; software products; software reliability growth prediction; Artificial neural networks; Computer network reliability; Computer science; Feedforward systems; Neural networks; Predictive models; Software measurement; Software reliability; Software systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Reliability Engineering, 1991. Proceedings., 1991 International Symposium on
Conference_Location
Austin, TX
Print_ISBN
0-8186-2143-5
Type
conf
DOI
10.1109/ISSRE.1991.145366
Filename
145366
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