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On the use and the performance of software reliability growth modelsWe address the problem of predicting future failures for a piece of software. The number of failures occurring during a finite future time interval is predicted from the number failures observed during an initial period of usage by using software reliability growth models. Two different methods for using the models are considered: straightforward use of individual models, and dynamic selection among models based on goodness-of-fit and quality-of-prediction criteria. Performance is judged by the relative error of the predicted number of failures over future finite time intervals relative to the number of failures eventually observed during the intervals. Six of the former models and eight of the latter are evaluated, based on their performance on twenty data sets. Many open questions remain regarding the use and the performance of software reliability growth models.
Document ID
19930062459
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Keiller, Peter A.
(IBM Corp. Library Management and Systems Control Dept., Bethesda, MD, United States)
Miller, Douglas R.
(George Mason Univ. Fairfax, VA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1991
Publication Information
Publication: Reliability Engineering and System Safety
ISSN: 0951-8320
Subject Category
Computer Programming And Software
Accession Number
93A46456
Funding Number(s)
CONTRACT_GRANT: NAG1-771
Distribution Limits
Public
Copyright
Other

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