{"title":"学会在软件的不确定性中生存","authors":"B. Littlewood","doi":"10.1109/METRIC.1994.344234","DOIUrl":null,"url":null,"abstract":"Software measurement has been most successful in evaluating and predicting dependability, particularly reliability. There are, however severe limitations to the levels of reliability that can be assured in ways that are scientifically meaningful. The existence of these limits has serious social implications if we wish to place great dependence upon computer systems-for example in some safety-critical applications.<<ETX>>","PeriodicalId":271190,"journal":{"name":"Proceedings of 1994 IEEE 2nd International Software Metrics Symposium","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Learning to live with uncertainty in our software\",\"authors\":\"B. Littlewood\",\"doi\":\"10.1109/METRIC.1994.344234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software measurement has been most successful in evaluating and predicting dependability, particularly reliability. There are, however severe limitations to the levels of reliability that can be assured in ways that are scientifically meaningful. The existence of these limits has serious social implications if we wish to place great dependence upon computer systems-for example in some safety-critical applications.<<ETX>>\",\"PeriodicalId\":271190,\"journal\":{\"name\":\"Proceedings of 1994 IEEE 2nd International Software Metrics Symposium\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE 2nd International Software Metrics Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/METRIC.1994.344234\",\"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 of 1994 IEEE 2nd International Software Metrics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METRIC.1994.344234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software measurement has been most successful in evaluating and predicting dependability, particularly reliability. There are, however severe limitations to the levels of reliability that can be assured in ways that are scientifically meaningful. The existence of these limits has serious social implications if we wish to place great dependence upon computer systems-for example in some safety-critical applications.<>