{"title":"A software to aid reliability estimation","authors":"Y.R. Muralidhara, P. Jalote","doi":"10.1109/STRQA.1994.526384","DOIUrl":null,"url":null,"abstract":"Estimating the reliability of software is becoming increasingly important. There are a large number of models available for estimating reliability. Most of these models are computationally complex and require statistical inferencing to estimate the parameters. In addition, techniques for evaluating the results obtained from a given model themselves are computationally expensive. We describe a software that can apply a model of the choice of the tester (from a set of models) for estimating the reliability of a given software, and also provide data for evaluating the predictions of the model.","PeriodicalId":125322,"journal":{"name":"Proceedings of 1994 1st International Conference on Software Testing, Reliability and Quality Assurance (STRQA'94)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 1st International Conference on Software Testing, Reliability and Quality Assurance (STRQA'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STRQA.1994.526384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Estimating the reliability of software is becoming increasingly important. There are a large number of models available for estimating reliability. Most of these models are computationally complex and require statistical inferencing to estimate the parameters. In addition, techniques for evaluating the results obtained from a given model themselves are computationally expensive. We describe a software that can apply a model of the choice of the tester (from a set of models) for estimating the reliability of a given software, and also provide data for evaluating the predictions of the model.