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Software reliability: Additional investigations into modeling with replicated experimentsThe effects of programmer experience level, different program usage distributions, and programming languages are explored. All these factors affect performance, and some tentative relational hypotheses are presented. An analytic framework for replicated and non-replicated (traditional) software experiments is presented. A method of obtaining an upper bound on the error rate of the next error is proposed. The method was validated empirically by comparing forecasts with actual data. In all 14 cases the bound exceeded the observed parameter, albeit somewhat conservatively. Two other forecasting methods are proposed and compared to observed results. Although demonstrated relative to this framework that stages are neither independent nor exponentially distributed, empirical estimates show that the exponential assumption is nearly valid for all but the extreme tails of the distribution. Except for the dependence in the stage probabilities, Cox's model approximates to a degree what is being observed.
Document ID
19840021433
Document Type
Contractor Report (CR)
Authors
Nagel, P. M. (Boeing Computer Services Co. Seattle, WA, United States)
Schotz, F. M. (Boeing Computer Services Co. Seattle, WA, United States)
Skirvan, J. A. (Boeing Computer Services Co. Seattle, WA, United States)
Date Acquired
September 4, 2013
Publication Date
June 1, 1984
Subject Category
COMPUTER PROGRAMMING AND SOFTWARE
Report/Patent Number
BCS-40446
NASA-CR-172378
NAS 1.26:172378
Funding Number(s)
CONTRACT_GRANT: NAS1-16481
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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