Title :
Do Programming Languages Affect Productivity? A Case Study Using Data from Open Source Projects
Author :
Delorey, Daniel P. ; Knutson, Charles D. ; Chun, Scott
Author_Institution :
Brigham Young Univ., Provo
Abstract :
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.
Keywords :
programming; programming languages; public domain software; SourceForge.net; computer programming; open source projects; programming languages; Computer languages; Concrete; Humans; Java; Open source software; Predictive models; Productivity; Programming profession; Software testing; Time factors;
Conference_Titel :
Emerging Trends in FLOSS Research and Development, 2007. FLOSS '07. First International Workshop on
Conference_Location :
Minneapolis, MN
Print_ISBN :
0-7695-2961-5
DOI :
10.1109/FLOSS.2007.5
