{"title":"一个带有测试工作的离散软件可靠性增长模型","authors":"P. K. Kapur, M. Xie, R. Garg, Abhishek Kumar Jha","doi":"10.1109/STRQA.1994.526379","DOIUrl":null,"url":null,"abstract":"We propose a discrete software reliability growth model with testing effort. The behaviour of the testing effort is described by a discrete Rayleigh curve. Assuming that the discrete failure intensity to the amount of current testing effort is proportional to the remaining error content, we formulate the model as a non-homogeneous poisson process. Parameters of the model are estimated. We then discuss a release policy based on cost and failure intensity criteria. Numerical results are also presented.","PeriodicalId":125322,"journal":{"name":"Proceedings of 1994 1st International Conference on Software Testing, Reliability and Quality Assurance (STRQA'94)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"30","resultStr":"{\"title\":\"A discrete software reliability growth model with testing effort\",\"authors\":\"P. K. Kapur, M. Xie, R. Garg, Abhishek Kumar Jha\",\"doi\":\"10.1109/STRQA.1994.526379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a discrete software reliability growth model with testing effort. The behaviour of the testing effort is described by a discrete Rayleigh curve. Assuming that the discrete failure intensity to the amount of current testing effort is proportional to the remaining error content, we formulate the model as a non-homogeneous poisson process. Parameters of the model are estimated. We then discuss a release policy based on cost and failure intensity criteria. Numerical results are also presented.\",\"PeriodicalId\":125322,\"journal\":{\"name\":\"Proceedings of 1994 1st International Conference on Software Testing, Reliability and Quality Assurance (STRQA'94)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"30\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 1st International Conference on Software Testing, Reliability and Quality Assurance (STRQA'94)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STRQA.1994.526379\",\"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 1st International Conference on Software Testing, Reliability and Quality Assurance (STRQA'94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STRQA.1994.526379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A discrete software reliability growth model with testing effort
We propose a discrete software reliability growth model with testing effort. The behaviour of the testing effort is described by a discrete Rayleigh curve. Assuming that the discrete failure intensity to the amount of current testing effort is proportional to the remaining error content, we formulate the model as a non-homogeneous poisson process. Parameters of the model are estimated. We then discuss a release policy based on cost and failure intensity criteria. Numerical results are also presented.