DocumentCode
1363179
Title
A nonparametric software-reliability growth model
Author
Sofer, Ariela ; Miller, Douglas R.
Author_Institution
George Mason Univ., Fairfax, VA, USA
Volume
40
Issue
3
fYear
1991
fDate
8/1/1991 12:00:00 AM
Firstpage
329
Lastpage
337
Abstract
The authors (Proc. Eighth Int. Conf. Software Eng., London, England, p.343-4, 1985) previously introduced a nonparametric model for software-reliability growth which is based on complete monotonicity of the failure rate. The authors extend the completely monotone software model by developing a method for providing long-range predictions of reliability growth, based on the model. They derive upper and lower bounds on extrapolation of the failure rate and the mean function. These are then used to obtain estimates for the future software failure rate and the mean future number of failures. Preliminary evaluation indicates that the method is competitive with parametric approaches, while being more robust
Keywords
software reliability; failure rate monotonicity; nonparametric software-reliability growth model; Computer bugs; Debugging; Extrapolation; Failure analysis; Linear algebra; Parametric statistics; Predictive models; Robustness; Software reliability; Statistical analysis;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/24.85453
Filename
85453
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