Abstract:
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...Show MoreMetadata
Abstract:
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.
Date of Conference: 16-17 May 2009
Date Added to IEEE Xplore: 05 June 2009
Print ISBN:978-1-4244-3493-0