{"title":"Software reliability in weapon systems","authors":"P. Carnes","doi":"10.1109/ISSRE.1997.630855","DOIUrl":null,"url":null,"abstract":"Summary form only given, as follows. The Air Force Operational Test and Evaluation Center (AFOTEC) is responsible for the operational testing of application software used in weapon systems. In order to determine if a system is ready for operational testing, raw data from unit and integration testing is analyzed to determine if the software is exhibiting maturity and reliability growth. A graphical tool containing a library of widely accepted software reliability growth models then selects the optimum model by first subjecting the data to goodness of fit criterion and then prequential likelihood as a measure of predictive strength. The intent is to use this data with operational profiles to determine the expected software reliability for a given system operational mission.","PeriodicalId":170184,"journal":{"name":"Proceedings The Eighth International Symposium on Software Reliability Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings The Eighth International Symposium on Software Reliability Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.1997.630855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Summary form only given, as follows. The Air Force Operational Test and Evaluation Center (AFOTEC) is responsible for the operational testing of application software used in weapon systems. In order to determine if a system is ready for operational testing, raw data from unit and integration testing is analyzed to determine if the software is exhibiting maturity and reliability growth. A graphical tool containing a library of widely accepted software reliability growth models then selects the optimum model by first subjecting the data to goodness of fit criterion and then prequential likelihood as a measure of predictive strength. The intent is to use this data with operational profiles to determine the expected software reliability for a given system operational mission.