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Completely monotone regression estimates of software failure ratesA method for estimating the present failure rate of a program is presented. A crude nonparameter estimate of the failure rate function is obtained from past failure times. This estimate is then smoothed by fitting a completely monotonic function, which is the solution of a quadratic programming problem. The value of the smoothed function at present time is used as the estimate of present failure rate. Results of a Monte Carlo study of performance are given.
Document ID
19850009266
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Miller, D. R. (George Washington Univ. Washington, DC, United States)
Sofer, A. (George Washington Univ. Washington, DC, United States)
Date Acquired
September 5, 2013
Publication Date
January 18, 1985
Subject Category
Computer Programming And Software
Report/Patent Number
NAS 1.26:174319
NASA-CR-174319
GWU/IMSE/SERIAL-T-497/85
Report Number: NAS 1.26:174319
Report Number: NASA-CR-174319
Report Number: GWU/IMSE/SERIAL-T-497/85
Accession Number
85N17575
Funding Number(s)
CONTRACT_GRANT: NAG1-179
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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