DocumentCode :
1974616
Title :
Author entropy vs. file size in the gnome suite of applications
Author :
Casebolt, Jason R. ; Krein, Jonathan L. ; MacLean, Alexander C. ; Knutson, Charles D. ; Delorey, Daniel P.
Author_Institution :
SEQuOIA Lab., Brigham Young Univ., Provo, UT
fYear :
2009
fDate :
16-17 May 2009
Firstpage :
91
Lastpage :
94
Abstract :
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.
Keywords :
data mining; file organisation; GNOME; author entropy; file size; Entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mining Software Repositories, 2009. MSR '09. 6th IEEE International Working Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-3493-0
Type :
conf
DOI :
10.1109/MSR.2009.5069484
Filename :
5069484
Link To Document :
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