{"title":"Empirical-Bayesian availability indices of safety and time critical software systems with corrective maintenance","authors":"M. Sahinoglu, E. Chow","doi":"10.1109/PRDC.1999.816216","DOIUrl":null,"url":null,"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.","PeriodicalId":389294,"journal":{"name":"Proceedings 1999 Pacific Rim International Symposium on Dependable Computing","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1999 Pacific Rim International Symposium on Dependable Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.1999.816216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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.