{"title":"工业中大型软件系统的可靠性模型","authors":"W. Jones","doi":"10.1109/ISSRE.1991.145351","DOIUrl":null,"url":null,"abstract":"BNR, the R&D subsidiary of Northern Telecom and Bell Canada, has one of the largest software systems in the world, with code libraries exceeding 8 million source lines of a high level language. This software is used in the high-end digital switching systems that Northern Telecom markets. Software reliability methods are applied to a major subset of this software to determine if the total number of customer-perceived failures and actual software faults can be predicted before or soon after a new release of such a system. These predictions are based on pre-customer testing ( alpha and beta ) and small field trials. Many of the existing reliability models and methods of parameter estimation currently demonstrated in the literature are compared.<<ETX>>","PeriodicalId":338844,"journal":{"name":"Proceedings. 1991 International Symposium on Software Reliability Engineering","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Reliability models for very large software systems in industry\",\"authors\":\"W. Jones\",\"doi\":\"10.1109/ISSRE.1991.145351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BNR, the R&D subsidiary of Northern Telecom and Bell Canada, has one of the largest software systems in the world, with code libraries exceeding 8 million source lines of a high level language. This software is used in the high-end digital switching systems that Northern Telecom markets. Software reliability methods are applied to a major subset of this software to determine if the total number of customer-perceived failures and actual software faults can be predicted before or soon after a new release of such a system. These predictions are based on pre-customer testing ( alpha and beta ) and small field trials. Many of the existing reliability models and methods of parameter estimation currently demonstrated in the literature are compared.<<ETX>>\",\"PeriodicalId\":338844,\"journal\":{\"name\":\"Proceedings. 1991 International Symposium on Software Reliability Engineering\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 1991 International Symposium on Software Reliability Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSRE.1991.145351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 1991 International Symposium on Software Reliability Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.1991.145351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability models for very large software systems in industry
BNR, the R&D subsidiary of Northern Telecom and Bell Canada, has one of the largest software systems in the world, with code libraries exceeding 8 million source lines of a high level language. This software is used in the high-end digital switching systems that Northern Telecom markets. Software reliability methods are applied to a major subset of this software to determine if the total number of customer-perceived failures and actual software faults can be predicted before or soon after a new release of such a system. These predictions are based on pre-customer testing ( alpha and beta ) and small field trials. Many of the existing reliability models and methods of parameter estimation currently demonstrated in the literature are compared.<>