• DocumentCode
    1974616
  • Title

    Author entropy vs. file size in the gnome suite of applications

  • Author

    Casebolt, Jason R. ; Krein, Jonathan L. ; MacLean, Alexander C. ; Knutson, Charles D. ; Delorey, Daniel P.

  • Author_Institution
    SEQuOIA Lab., Brigham Young Univ., Provo, UT
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    91
  • Lastpage
    94
  • 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.
  • Keywords
    data mining; file organisation; GNOME; author entropy; file size; Entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mining Software Repositories, 2009. MSR '09. 6th IEEE International Working Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-3493-0
  • Type

    conf

  • DOI
    10.1109/MSR.2009.5069484
  • Filename
    5069484
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1974616