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
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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||