{"title":"使用生产模型对软件过程进行评估和改进","authors":"A. Andrews, A. Roeseler","doi":"10.1109/CMPSAC.1993.404212","DOIUrl":null,"url":null,"abstract":"With the advent of process assessment and process improvement as key objectives for many software development organizations, it has become important to provide viable mechanisms to do so. This paper suggests to use production models paired with software metrics that quantify key drivers of productivity. We also show capabilities of production models with two examples. Production models must be used with proper parameterization to be successful. This may mean a new look at which metrics are helpful for process assessment.<<ETX>>","PeriodicalId":375808,"journal":{"name":"Proceedings of 1993 IEEE 17th International Computer Software and Applications Conference COMPSAC '93","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Software process assessment and improvement using production models\",\"authors\":\"A. Andrews, A. Roeseler\",\"doi\":\"10.1109/CMPSAC.1993.404212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of process assessment and process improvement as key objectives for many software development organizations, it has become important to provide viable mechanisms to do so. This paper suggests to use production models paired with software metrics that quantify key drivers of productivity. We also show capabilities of production models with two examples. Production models must be used with proper parameterization to be successful. This may mean a new look at which metrics are helpful for process assessment.<<ETX>>\",\"PeriodicalId\":375808,\"journal\":{\"name\":\"Proceedings of 1993 IEEE 17th International Computer Software and Applications Conference COMPSAC '93\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 IEEE 17th International Computer Software and Applications Conference COMPSAC '93\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMPSAC.1993.404212\",\"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 1993 IEEE 17th International Computer Software and Applications Conference COMPSAC '93","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.1993.404212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Software process assessment and improvement using production models
With the advent of process assessment and process improvement as key objectives for many software development organizations, it has become important to provide viable mechanisms to do so. This paper suggests to use production models paired with software metrics that quantify key drivers of productivity. We also show capabilities of production models with two examples. Production models must be used with proper parameterization to be successful. This may mean a new look at which metrics are helpful for process assessment.<>