• DocumentCode
    2430637
  • Title

    Mining aspectual views using formal concept analysis

  • Author

    Tourwé, Tom ; Mens, Kim

  • Author_Institution
    Centrum voor Wiskunde en Informatica, Amsterdam, Netherlands
  • fYear
    2004
  • fDate
    15-16 Sept. 2004
  • Firstpage
    97
  • Lastpage
    106
  • Abstract
    We report upon an initial experiment using the technique of formal concept analysis for mining aspectual views from the source code. An aspectual view is a set of source code entities, such as class hierarchies, classes and methods that are structurally related in some way, and often crosscut a particular application. Initially, we follow a lightweight approach, where we only consider the names of classes and methods. This simplistic technique already results in the discovery of interesting and meaningful aspectual views, leaving us confident that more complex approaches will perform even better, and merit to be studied in the future.
  • Keywords
    data mining; object-oriented programming; source coding; aspectual view mining; formal concept analysis; source code; Code standards; Conferences; IEEE entities; Software maintenance; Software systems; Standards development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Source Code Analysis and Manipulation, 2004. Fourth IEEE International Workshop on
  • Print_ISBN
    0-7695-2144-4
  • Type

    conf

  • DOI
    10.1109/SCAM.2004.15
  • Filename
    1386163