{"title":"软件可靠性增长分析——NHPP模型的应用及其评价","authors":"Takamasa Nara, M. Nakata, Akihiro Ooishi","doi":"10.1109/HASE.1996.618601","DOIUrl":null,"url":null,"abstract":"The paper reports on the suitability and stability of the NHPP and trend curve software reliability growth models. For evaluating these characteristics, we applied these models to our actual software development projects. The study shows that the NHPP model fits our projects well. Furthermore, it also suggests quality control limit curves for more effective application of these models.","PeriodicalId":129829,"journal":{"name":"Proceedings. IEEE High-Assurance Systems Engineering Workshop (Cat. No.96TB100076)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Software reliability growth analysis-application of NHPP models and its evaluation\",\"authors\":\"Takamasa Nara, M. Nakata, Akihiro Ooishi\",\"doi\":\"10.1109/HASE.1996.618601\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper reports on the suitability and stability of the NHPP and trend curve software reliability growth models. For evaluating these characteristics, we applied these models to our actual software development projects. The study shows that the NHPP model fits our projects well. Furthermore, it also suggests quality control limit curves for more effective application of these models.\",\"PeriodicalId\":129829,\"journal\":{\"name\":\"Proceedings. IEEE High-Assurance Systems Engineering Workshop (Cat. No.96TB100076)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE High-Assurance Systems Engineering Workshop (Cat. No.96TB100076)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HASE.1996.618601\",\"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. IEEE High-Assurance Systems Engineering Workshop (Cat. No.96TB100076)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HASE.1996.618601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software reliability growth analysis-application of NHPP models and its evaluation
The paper reports on the suitability and stability of the NHPP and trend curve software reliability growth models. For evaluating these characteristics, we applied these models to our actual software development projects. The study shows that the NHPP model fits our projects well. Furthermore, it also suggests quality control limit curves for more effective application of these models.
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