author entropy, file size, GNOME
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 re- sults suggest that when two authors contribute to a file, large files are more likely to have a dominant author than smaller files.
Original Publication Citation
Jason Casebolt, Jonathan L. Krein, Alexander C. MacLean, Daniel P. Delorey, Charles D. Knutson. Challenge Paper: "Author Entropy vs. File Size in the GNOME Suite of Applications." Proceedings of the 6th IEEE International Working Conference on Mining Software Repositories (MSR 9), Vancouver, British Columbia, Canada, May 23, 29.
BYU ScholarsArchive Citation
Casebolt, Jason R.; Delorey, Daniel P.; Knutson, Charles D.; Krein, Jonathan; and MacLean, Alexander C., "Author Entropy vs. File Size in the GNOME Suite of Applications" (2009). Faculty Publications. 862.
Physical and Mathematical Sciences
© 2009 Institution of Electrical and Electronics Engineers
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