This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007)
Do Programming Languages Affect Productivity? A Case Study Using Data from Open Source Projects
Minneapolis, Minnesota
May 20-May 26
ISBN: 0-7695-2961-5
Daniel P. Delorey, Brigham Young University, USA
Charles D. Knutson, Brigham Young University, USA
Scott Chun, Brigham Young University, USA
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.
Citation:
Daniel P. Delorey, Charles D. Knutson, Scott Chun, "Do Programming Languages Affect Productivity? A Case Study Using Data from Open Source Projects," floss, pp.8, First International Workshop on Emerging Trends in FLOSS Research and Development (FLOSS'07: ICSE Workshops 2007), 2007
Usage of this product signifies your acceptance of the Terms of Use.