This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 6th IEEE International Working Conference on Mining Software Repositories
Author entropy vs. file size in the gnome suite of applications
Vancouver, BC, Canada
May 16-May 17
ISBN: 978-1-4244-3493-0
ASCII Text
x 
 
Jason R. Casebolt, Jonathan L. Krein, Alexander C. MacLean, Charles D. Knutson, Daniel P. Delorey, "Author entropy vs. file size in the gnome suite of applications," Mining Software Repositories, International Workshop on, pp. 91-94, 2009 6th IEEE International Working Conference on Mining Software Repositories, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MSR.2009.5069484,
author = {Jason R. Casebolt and Jonathan L. Krein and Alexander C. MacLean and Charles D. Knutson and Daniel P. Delorey},
title = {Author entropy vs. file size in the gnome suite of applications},
journal ={Mining Software Repositories, International Workshop on},
volume = {0},
year = {2009},
isbn = {978-1-4244-3493-0},
pages = {91-94},
doi = {http://doi.ieeecomputersociety.org/10.1109/MSR.2009.5069484},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Mining Software Repositories, International Workshop on
TI - Author entropy vs. file size in the gnome suite of applications
SN - 978-1-4244-3493-0
SP91
EP94
A1 - Jason R. Casebolt,
A1 - Jonathan L. Krein,
A1 - Alexander C. MacLean,
A1 - Charles D. Knutson,
A1 - Daniel P. Delorey,
PY - 2009
VL - 0
JA - Mining Software Repositories, International Workshop on
ER -
 
Jason R. Casebolt, SEQuOIA Lab, Brigham Young University, USA
Jonathan L. Krein, SEQuOIA Lab, Brigham Young University, USA
Alexander C. MacLean, SEQuOIA Lab, Brigham Young University, USA
Charles D. Knutson, SEQuOIA Lab, Brigham Young University, USA
Daniel P. Delorey, Google, Inc., USA
We present the results of a study in which author entropy was used to characterize author contributions per file. Our analysis reveals three patterns: banding in the data, uneven distribution of data across bands, and file size dependent distributions within bands. Our results suggest that when two authors contribute to a file, large files are more likely to have a dominant author than smaller files.
Citation:
Jason R. Casebolt, Jonathan L. Krein, Alexander C. MacLean, Charles D. Knutson, Daniel P. Delorey, "Author entropy vs. file size in the gnome suite of applications," msr, pp.91-94, 2009 6th IEEE International Working Conference on Mining Software Repositories, 2009
Usage of this product signifies your acceptance of the Terms of Use.