• DocumentCode
    2333344
  • Title

    Toward a metrics suite for source code lexicons

  • Author

    Biggers, Lauren R. ; Eddy, Brian P. ; Kraft, Nicholas A. ; Etzkorn, Letha H.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
  • fYear
    2011
  • fDate
    25-30 Sept. 2011
  • Firstpage
    492
  • Lastpage
    495
  • Abstract
    In this paper we present an empirical study of relationships between three source code lexicons: the identifier, comment, and literal lexicons. We conjecture that shared and unique properties of these lexicons for the given subject system can inform the configuration of a source code retrieval technique for a particular software understanding activity or software evolution task. Thus, we seek to discover these lexicon properties, and so we investigate five lexicon measures that consider term frequency, term density, and term provenance.
  • Keywords
    information retrieval; software metrics; literal lexicon; metrics suite; software evolution task; software understanding activity; source code lexicon; source code retrieval technique; term frequency; term provenance; Correlation; Density measurement; Indexes; Software measurement; Software systems; software lexicon; software metrics; text retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance (ICSM), 2011 27th IEEE International Conference on
  • Conference_Location
    Williamsburg, VI
  • ISSN
    1063-6773
  • Print_ISBN
    978-1-4577-0663-9
  • Electronic_ISBN
    1063-6773
  • Type

    conf

  • DOI
    10.1109/ICSM.2011.6080816
  • Filename
    6080816