{"title":"模型用于估计在测试/调试过程后仍然存在于软件中的故障数量","authors":"Y. Tohma","doi":"10.1109/CMPSAC.1989.65132","DOIUrl":null,"url":null,"abstract":"Models used to estimate the number of residual software faults are examined. The models were developed by universities and industries in Japan. It has been shown that the hypergeometric distribution model can be applied to real data of different types. The relationship between the model based on the hypergeometric distribution and those based on the nonhomogeneous Poisson process has been revealed.<<ETX>>","PeriodicalId":339677,"journal":{"name":"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Models to estimate the number of faults still resident in the software after test/debug process\",\"authors\":\"Y. Tohma\",\"doi\":\"10.1109/CMPSAC.1989.65132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Models used to estimate the number of residual software faults are examined. The models were developed by universities and industries in Japan. It has been shown that the hypergeometric distribution model can be applied to real data of different types. The relationship between the model based on the hypergeometric distribution and those based on the nonhomogeneous Poisson process has been revealed.<<ETX>>\",\"PeriodicalId\":339677,\"journal\":{\"name\":\"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMPSAC.1989.65132\",\"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 Thirteenth Annual International Computer Software & Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.1989.65132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Models to estimate the number of faults still resident in the software after test/debug process
Models used to estimate the number of residual software faults are examined. The models were developed by universities and industries in Japan. It has been shown that the hypergeometric distribution model can be applied to real data of different types. The relationship between the model based on the hypergeometric distribution and those based on the nonhomogeneous Poisson process has been revealed.<>