The infeasibility of experimental quantification of life-critical software reliability
SIGSOFT '91 Proceedings of the conference on Software for citical systems
Validation of ultrahigh dependability for software-based systems
Communications of the ACM
Some Conservative Stopping Rules for the Operational Testing of Safety-Critical Software
IEEE Transactions on Software Engineering
Structural Software Reliability Estimation
SAFECOMP '99 Proceedings of the 18th International Conference on Computer Computer Safety, Reliability and Security
Assessment of the Reliability of Fault-Tolerant Software: A Bayesian Approach
SAFECOMP '00 Proceedings of the 19th International Conference on Computer Safety, Reliability and Security
Uncertainty explicit assessment of off-the-shelf software: A Bayesian approach
Information and Software Technology
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Reliability assessment of upgraded legacy systems is an important problem in many safety-related industries. Some parts of the equipment used in the original design of such systems are either not available off-the-shelf (OTS) or have become extremely expensive as a result of being discontinued as mass production components. Maintaining a legacy system, therefore, demands using different OTS components. Trustworthy reliability assurance after an upgrade with a new OTS component is needed which combines the evidence about the reliability of the new OTS component with the knowledge about the old system accumulated to date. In these circumstances Bayesian approach to reliability assessment is invaluable. Earlier studies have used Bayesian inference under simplifying assumptions. Here we study the effect of these on the accuracy of predictions and discuss the problems, some of them open for future research, of using Bayesian inference for practical reliability assessment.