文章基本信息

标题：Knowledge Management of Software Productivity and Development Time
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作者：James A. Rodger ; Pankaj Pankaj ; Ata Nahouraii 等
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2011
卷号：4
期号：11
页码：609-618
DOI：10.4236/jsea.2011.411072
出版社：Scientific Research Publishing
摘要：In this paper, we identify a set of factors that may be used to forecast software productivity and software development time. Software productivity was measured in function points per person hours, and software development time was measured in number of elapsed days. Using field data on over 130 field software projects from various industries, we empirically test the impact of team size, integrated computer aided software engineering (ICASE) tools, software development type, software development platform, and programming language type on the software development productivity and development time. Our results indicate that team size, software development type, software development platform, and programming language type significantly impact software development productivity. However, only team size significantly impacts software development time. Our results indicate that effective management of software development teams, and using different management strategies for different software development type environments may improve software development productivity.
关键词：Software Engineering; Software Metrics; Fourth Generation Languages; CASE Tools; Field Study; Tools And Techniques; Models And Principles; Team Size; Volatility; Development Platform And Type; Productivity; Elapsed Development Time