Compound-Poisson Software Reliability Model
IEEE Transactions on Software Engineering
Handbook of software reliability engineering
Software Assessment: Reliability, Safety, Testability
Software Assessment: Reliability, Safety, Testability
How Much Testing is Enough? Applying Stopping Rules to Behavioral Model Testing
HASE '99 The 4th IEEE International Symposium on High-Assurance Systems Engineering
PRDC '99 Proceedings of the 1999 Pacific Rim International Symposium on Dependable Computing
Hi-index | 0.00 |
If the recovery or remedial time is not incorporated in the reliability of a software module in safety and time-critical integrated system operation, such as in Internet environment, then a mere reliability index based on software failure characteristics is simply not adequate and realistic. Recovery data need also to be collected. In deriving the Sahinoglu-Libby probability density function (pdf) of the software component availability, empirical Bayesian procedures will be used to employ expert engineering judgment through appropriate non-informative and informative prior distribution functions by employing various definitions of risk functions. It is emphasized that the uncontested usage of maximum likelihood estimators (mle) regardless of the insufficiency of historical data is erroneous and misleading. Case studies show this phenomenon of overestimation of reliability in safety and time critical components as well as systems.