Author entropy vs. file size in the gnome suite of applications
Jason R. Casebolt, Jonathan L. Krein, Alexander C. MacLean, Charles D. Knutson, Daniel P. Delorey · 2009
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.