Title :
Empirical-Bayesian availability indices of safety and time critical software systems with corrective maintenance
Author :
Sahinoglu, Mehmet ; Chow, Edward
Author_Institution :
TSUM, Montgomery, AL, USA
Abstract :
If the recovery or remedial time is not incorporated in the reliability of a software module in a safety and time-critical integrated system operation, then a mere reliability index based on failure characteristics is simply not adequate and realistic. In deriving the probability density function (pdf) of the software availability, empirical Bayesian procedures will be used to employ expert engineering judgment through appropriate noninformative and informative prior distribution functions employing various definitions of risk functions. It is emphasized that the usage of maximum likelihood estimators regardless of the extent of historical data is erroneous and misleading
Keywords :
Bayes methods; probability; safety-critical software; software maintenance; system recovery; Bayesian availability indices; corrective maintenance; historical data; maximum likelihood estimators; probability density function; reliability index; risk functions; safety critical software; software reliability; time critical software; Availability; Bayesian methods; Debugging; Maintenance; Maximum likelihood estimation; Probability density function; Shape; Software safety; Software systems; Time factors;
Conference_Titel :
Dependable Computing, 1999. Proceedings. 1999 Pacific Rim International Symposium on
Print_ISBN :
0-7695-0371-3
DOI :
10.1109/PRDC.1999.816216