{"title":"基于超几何分布模型的软件剩余故障估计","authors":"Y. Tohma, R. Jacoby, Y. Murata, Moriki Yamamoto","doi":"10.1109/CMPSAC.1989.65155","DOIUrl":null,"url":null,"abstract":"It is shown that the hyper-geometric distribution model can be applied to different types of test-and-debug data to estimate the number of initial software faults. Examples show that the fitness of the estimated growth curves of the model to real data is satisfactory. The relationship of the model to those proposed earlier is clarified. Some of them can be expressed as a special case of the proposed model. The S-shaped characteristic of the growth curve can also be introduced using this model.<<ETX>>","PeriodicalId":339677,"journal":{"name":"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":"{\"title\":\"Hyper-geometric distribution model to estimate the number of residual software faults\",\"authors\":\"Y. Tohma, R. Jacoby, Y. Murata, Moriki Yamamoto\",\"doi\":\"10.1109/CMPSAC.1989.65155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown that the hyper-geometric distribution model can be applied to different types of test-and-debug data to estimate the number of initial software faults. Examples show that the fitness of the estimated growth curves of the model to real data is satisfactory. The relationship of the model to those proposed earlier is clarified. Some of them can be expressed as a special case of the proposed model. The S-shaped characteristic of the growth curve can also be introduced using this model.<<ETX>>\",\"PeriodicalId\":339677,\"journal\":{\"name\":\"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"72\",\"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.1989.65155\",\"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.1989.65155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hyper-geometric distribution model to estimate the number of residual software faults
It is shown that the hyper-geometric distribution model can be applied to different types of test-and-debug data to estimate the number of initial software faults. Examples show that the fitness of the estimated growth curves of the model to real data is satisfactory. The relationship of the model to those proposed earlier is clarified. Some of them can be expressed as a special case of the proposed model. The S-shaped characteristic of the growth curve can also be introduced using this model.<>