{"title":"软件和开发过程质量度量","authors":"R. H. Yacobellis","doi":"10.1109/ICDE.1984.7271280","DOIUrl":null,"url":null,"abstract":"This paper describes a framework for gathering and reporting software and development process quality metrics, as well as data engineering issues related to data collection and report generation. The framework is described in project-independent terms, including a methodology for applying metrics to a given software project. A key aspect of this application is the use of project milestones predicted by a failure rate model. For the purposes of this paper, a software project is one which delivers a software or system product, and involves between thirty and several hundred developers, testers, and project managers.","PeriodicalId":365511,"journal":{"name":"1984 IEEE First International Conference on Data Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1984-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Software and development process quality metrics\",\"authors\":\"R. H. Yacobellis\",\"doi\":\"10.1109/ICDE.1984.7271280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a framework for gathering and reporting software and development process quality metrics, as well as data engineering issues related to data collection and report generation. The framework is described in project-independent terms, including a methodology for applying metrics to a given software project. A key aspect of this application is the use of project milestones predicted by a failure rate model. For the purposes of this paper, a software project is one which delivers a software or system product, and involves between thirty and several hundred developers, testers, and project managers.\",\"PeriodicalId\":365511,\"journal\":{\"name\":\"1984 IEEE First International Conference on Data Engineering\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1984 IEEE First International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1984.7271280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1984 IEEE First International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1984.7271280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes a framework for gathering and reporting software and development process quality metrics, as well as data engineering issues related to data collection and report generation. The framework is described in project-independent terms, including a methodology for applying metrics to a given software project. A key aspect of this application is the use of project milestones predicted by a failure rate model. For the purposes of this paper, a software project is one which delivers a software or system product, and involves between thirty and several hundred developers, testers, and project managers.
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