• DocumentCode
    2982387
  • Title

    Evaluating context-sensitive slicing and chopping

  • Author

    Krinke, Jens

  • Author_Institution
    Passau Univ., Germany
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    22
  • Lastpage
    31
  • Abstract
    We present an empirical evaluation of three context-sensitive slicing algorithms and five context-sensitive chopping algorithms, and compare them to context-insensitive methods. Besides the algorithms by Reps et al. (1994, 1995) and Agrawal (2001) we investigate six new algorithms based on variations of k-limited call strings and approximative chopping based on summary information. It turns out that chopping based on summary information may have a prohibitive complexity, and that approximate algorithms are almost as precise and much faster.
  • Keywords
    computational complexity; program slicing; complexity; context-sensitive chopping algorithm evaluation; context-sensitive slicing algorithm evaluation; k-limited call strings; summary information; Computational Intelligence Society; Data analysis; Flow graphs; Prototypes; Reverse engineering; Software algorithms; Software maintenance; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, 2002. Proceedings. International Conference on
  • ISSN
    1063-6773
  • Print_ISBN
    0-7695-1819-2
  • Type

    conf

  • DOI
    10.1109/ICSM.2002.1167744
  • Filename
    1167744