• DocumentCode
    3406817
  • Title

    A preliminary investigation of using age and distance measures in the detection of evolutionary couplings

  • Author

    Alali, Abdula ; Bartman, Brian ; Newman, Christian D. ; Maletic, Jonathan I.

  • Author_Institution
    Dept. of Comput. Sci., Kent State Univ. Kent, Kent, OH, USA
  • fYear
    2013
  • fDate
    18-19 May 2013
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    An initial study of using two measures to improve the accuracy of evolutionary couplings uncovered from version history is presented. Two measures, namely the age of a pattern and the distance among items within a pattern, are defined and used with the traditional methods for computing evolutionary couplings. The goal is to reduce the number of false positives (i.e., inaccurate or irrelevant claims of coupling). Initial observations are presented that lend evidence that these measures may have the potential to improve the results of computing evolutionary couplings.
  • Keywords
    software maintenance; age measures; distance measures; evolutionary coupling detection; item distance; pattern age; version history; Couplings; Data mining; History; Itemsets; Maintenance engineering; Market research; Software; Evolutionary Coupling; Software Repositories;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2160-1852
  • Print_ISBN
    978-1-4799-0345-0
  • Type

    conf

  • DOI
    10.1109/MSR.2013.6624024
  • Filename
    6624024