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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
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
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