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Software reliability: A comparison of results obtained from established software reliability modelsTwo models of the software error detection process are compared, the Jelinski-Moranda model and a Bayes inference model. Simulation techniques are used to generate software related system failure data which is analyzed by both models. Point estimates and confidence limits are compared. It is demonstrated that uncertainty may be considerable for reasonable samples sizes and should be considered in any application of these techniques. The Jelinski-Moranda model is sensitive to the failure of data to follow internal assumptions of the model, often not providing any point estimates, a factor which may limit its usefulness in many real world situations. The Bayes model is shown to respond to the introduction of additional errors in the software correction process, a condition where error counting models such as the Jelinski-Moranda generally fail to converge.
Document ID
19820016130
Document Type
Conference Paper
Authors
Horn, M. H.
(Columbia Research Corp. Arlington, VA, United States)
Thompson, W. E.
(Columbia Research Corp. Arlington, VA, United States)
Date Acquired
August 10, 2013
Publication Date
January 1, 1980
Publication Information
Publication: NASA. Goddard Space Flight Center Proc. from the Fifth Ann. Software Eng. Workshop
Subject Category
Computer Programming And Software
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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