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

PublisherBrigham Young University
Format148.1KB PDFDate added17 Apr 2007
Topics Programming Languages
Downloads39

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. Data collected from the CVS repositories of 9,999 open source projects hosted on SourceForge.net is examined to test this assumption for 10 of the most popular programming languages in use in the open source community. It was found 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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