编程语言会影响生产力吗?使用开源项目数据的案例研究

First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007) Pub Date : 2007-05-20 DOI:10.1109/FLOSS.2007.5

Daniel P. Delorey, C. Knutson, S. Chun

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引用次数: 39

摘要

布鲁克斯和其他人很久以前就提出，无论使用什么编程语言，计算机程序员在给定的时间内平均编写的代码行数都是相同的。我们检查了从托管在SourceForge.net上的9999个开源项目的CVS存储库中收集的数据，以测试开源社区中使用的10种最流行的编程语言的假设。我们发现，在45个两两比较中的24个中，编程语言是决定源代码编写速度的重要因素，即使在考虑了程序员和项目之间的差异之后也是如此。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Do Programming Languages Affect Productivity? A Case Study Using Data from Open Source Projects

Brooks and others long ago suggested that on average computer programmers write the same number of lines of code in a given amount of time regardless of the programming language used. We examine data collected from the CVS repositories of 9,999 open source projects hosted on SourceForge.net to test this assumption for 10 of the most popular programming languages in use in the open source community. We find that for 24 of the 45 pairwise comparisons, the programming language is a significant factor in determining the rate at which source code is written, even after accounting for variations between programmers and projects.

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First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007)

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