Organizational Ohm's Law in Practice: Measuring Engineering Productivity

IF 4.6 3区 管理学 Q1 BUSINESS IEEE Transactions on Engineering Management Pub Date : 2024-07-03 DOI:10.1109/TEM.2024.3421892
Fei Liu;Todd McKinnon
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Abstract

Engineering productivity measures how effectively engineering teams produce valuable outcomes during a specific time frame. In this article, we aim to quantitatively explore the use of organizational Ohm's law to measure productivity in software engineering. According to this law, organizational productivity is directly proportional to outcome–output efficiency and organizational potential, while inversely proportional to organizational resistance. We derive measurable metrics from this law, which include engineer time allocation, engineer motivation, engineer skills, outcome–output alignment, lines of code, and usage-based business impact. We propose various practical methods to obtain these metrics and explain the considerations to determine the appropriate methods. Using these metrics, we comprehensively study and document four software product development projects. We apply the law to measure the engineering productivity of the projects. Our research supports the validity of organizational Ohm's law using lines of code output and usage-based business impact outcome. Our work demonstrates that organizational Ohm's law could provide an effective and intuitive model for understanding engineering productivity challenges.
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欧姆定律的组织实践:衡量工程生产力
工程生产率衡量的是工程团队在特定时间内产生有价值成果的效率。在本文中,我们旨在定量探讨如何利用组织欧姆定律来衡量软件工程的生产率。根据这一定律,组织生产率与成果产出效率和组织潜力成正比,而与组织阻力成反比。我们从这一定律中推导出可衡量的指标,包括工程师时间分配、工程师积极性、工程师技能、成果-产出一致性、代码行数和基于使用的业务影响。我们提出了获得这些指标的各种实用方法,并解释了确定适当方法的注意事项。利用这些指标,我们全面研究并记录了四个软件产品开发项目。我们运用这些方法来衡量项目的工程生产率。我们的研究利用代码产出行数和基于使用的业务影响结果支持了组织欧姆定律的有效性。我们的工作表明,组织欧姆定律可以为理解工程生产力挑战提供一个有效而直观的模型。
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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