{"title":"Software hazard rate modeling with multiple change-point occurrences","authors":"S. Inoue, S. Yamada","doi":"10.1109/IEEM.2014.7058819","DOIUrl":null,"url":null,"abstract":"We propose a software hazard rate modeling framework with the effect of multiple change-point occurrences for developing more plausible software reliability growth models reflecting actual environment in the testing-phase of a software development process. Especially, our modeling approach enables us to develop a software hazard rate model with the effect of multiple change-point occurrences by assuming the hazard rate before the first change-point occurrence. And we check that our multiple change-point model has better fitting and predictive performance than the corresponding non and single change-point models by conducting goodness-of-fit comparisons applying using actual data.","PeriodicalId":318405,"journal":{"name":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Industrial Engineering and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2014.7058819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We propose a software hazard rate modeling framework with the effect of multiple change-point occurrences for developing more plausible software reliability growth models reflecting actual environment in the testing-phase of a software development process. Especially, our modeling approach enables us to develop a software hazard rate model with the effect of multiple change-point occurrences by assuming the hazard rate before the first change-point occurrence. And we check that our multiple change-point model has better fitting and predictive performance than the corresponding non and single change-point models by conducting goodness-of-fit comparisons applying using actual data.