{"title":"具有不完善调试的超几何分布软件可靠性增长模型","authors":"R. Hou, S. Kuo, Yi-Ping Chang","doi":"10.1109/ISSRE.1995.497658","DOIUrl":null,"url":null,"abstract":"Debugging actions during the test/debug phase of software development are not always performed perfectly. That is, not all the software faults detected are perfectly removed without introducing new faults. This phenomenon is called imperfect debugging. The hyper-geometric distribution software reliability growth model (HGDM) was developed for estimating the number of software faults initially in a program. We propose an extended model based on the HGDM incorporating the notion of imperfect debugging.","PeriodicalId":408394,"journal":{"name":"Proceedings of Sixth International Symposium on Software Reliability Engineering. ISSRE'95","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Hyper-geometric distribution software reliability growth model with imperfect debugging\",\"authors\":\"R. Hou, S. Kuo, Yi-Ping Chang\",\"doi\":\"10.1109/ISSRE.1995.497658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Debugging actions during the test/debug phase of software development are not always performed perfectly. That is, not all the software faults detected are perfectly removed without introducing new faults. This phenomenon is called imperfect debugging. The hyper-geometric distribution software reliability growth model (HGDM) was developed for estimating the number of software faults initially in a program. We propose an extended model based on the HGDM incorporating the notion of imperfect debugging.\",\"PeriodicalId\":408394,\"journal\":{\"name\":\"Proceedings of Sixth International Symposium on Software Reliability Engineering. ISSRE'95\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Sixth International Symposium on Software Reliability Engineering. ISSRE'95\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSRE.1995.497658\",\"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 Sixth International Symposium on Software Reliability Engineering. ISSRE'95","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSRE.1995.497658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hyper-geometric distribution software reliability growth model with imperfect debugging
Debugging actions during the test/debug phase of software development are not always performed perfectly. That is, not all the software faults detected are perfectly removed without introducing new faults. This phenomenon is called imperfect debugging. The hyper-geometric distribution software reliability growth model (HGDM) was developed for estimating the number of software faults initially in a program. We propose an extended model based on the HGDM incorporating the notion of imperfect debugging.