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.