{"title":"大型复杂电信系统软件可靠性预测","authors":"L. Rydstrom, O. Viktorsson","doi":"10.1109/HICSS.1989.48006","DOIUrl":null,"url":null,"abstract":"The problem of predicting the number of remaining faults in a software system are studied. Seven software projects are analyzed using a number of software structure metrices and reliability growth models. The following conclusions are drawn: there is no single model that can always be used, irrespective of the project conditions; software structure metrics (mainly size) do correlate with the number of faults; the assumptions of reliability growth models do not apply when the testing is structured and well organized; and sufficient data has to be collected from different projects to create a basis for predictions.<<ETX>>","PeriodicalId":325958,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume II: Software Track","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Software reliability prediction for large and complex telecommunication systems\",\"authors\":\"L. Rydstrom, O. Viktorsson\",\"doi\":\"10.1109/HICSS.1989.48006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of predicting the number of remaining faults in a software system are studied. Seven software projects are analyzed using a number of software structure metrices and reliability growth models. The following conclusions are drawn: there is no single model that can always be used, irrespective of the project conditions; software structure metrics (mainly size) do correlate with the number of faults; the assumptions of reliability growth models do not apply when the testing is structured and well organized; and sufficient data has to be collected from different projects to create a basis for predictions.<<ETX>>\",\"PeriodicalId\":325958,\"journal\":{\"name\":\"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume II: Software Track\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume II: Software Track\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HICSS.1989.48006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume II: Software Track","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.1989.48006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software reliability prediction for large and complex telecommunication systems
The problem of predicting the number of remaining faults in a software system are studied. Seven software projects are analyzed using a number of software structure metrices and reliability growth models. The following conclusions are drawn: there is no single model that can always be used, irrespective of the project conditions; software structure metrics (mainly size) do correlate with the number of faults; the assumptions of reliability growth models do not apply when the testing is structured and well organized; and sufficient data has to be collected from different projects to create a basis for predictions.<>