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An Exploratory Study on Functional Size Measurement Based on Code

机译:基于代码的功能大小度量的探索性研究

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In this paper we explore opportunities, challenges, and obstacles that Functional Size Measurement (FSM) experts assume to be in automatically derived functional size, directly from the software project code itself. We designed a structured survey, that was answered by 336 FSM specialists. A majority of the respondents consider FSM to be an important tool for decision making. No indications are found for any perceived impact of agile methodology on the difficulty of applying FSM. Respondents overall think of automated FSM as important, but also difficult to realize. 54% of the respondents think that automated FSM will help measurement specialists, while 44% thinks that it will help decision makers too. The most preferred FSM method for automation is COSMIC (25%), followed by IFPUG (21%) and Nesma (16%). Respondents perceive automated FSM to be most suitable for baselining, benchmarking, and maintenance and legacy purposes.
机译:在本文中,我们探讨了功能规模测量(FSM)专家认为直接从软件项目代码本身直接获得的功能规模中所面临的机遇,挑战和障碍。我们设计了结构化调查,由336名FSM专家回答。大多数受访者认为FSM是决策的重要工具。没有发现任何迹象表明敏捷方法对应用FSM的难度有任何影响。总体上,受访者认为自动FSM很重要,但也很难实现。 54%的受访者认为自动FSM将帮助测量专家,而44%的受访者认为它也将帮助决策者。最适合自动化的FSM方法是COSMIC(25%),其次是IFPUG(21%)和Nesma(16%)。受访者认为自动FSM最适合基准,基准测试,维护和传统用途。

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