• DocumentCode
    2860397
  • Title

    Task interaction graphs for concurrency analysis

  • Author

    Long, Douglas L. ; Clarke, Lori A.

  • Author_Institution
    Dept. of Comput. Sci., Wellesley Coll., MA, USA
  • fYear
    1988
  • fDate
    19-21 Jul 1988
  • Firstpage
    134
  • Lastpage
    135
  • Abstract
    The authors present a representation for concurrent systems, called a task interaction graph, that facilitates analysis. They have developed a model of interacting tasks that can considerably reduce the number of states in concurrency graph representations. They call this representation a task interaction concurrency graph (TIGC), since it is derived from a task interaction graph (TIG) instead of from a control-flow representation. Using their model, the authors have compared the resulting representations for some of the common concurrency examples that appear in the literature. For these examples, the number of states were reduced by well over 50%. Such a substantial reduction is expected to have a major impact on the kinds of analysis that can be applied and on the kinds of programs that can be analyzed
  • Keywords
    graph theory; parallel programming; TIGC; concurrency analysis; task interaction graph; Analytical models; Computer errors; Computer science; Concurrent computing; Data analysis; Educational institutions; Flow graphs; Performance analysis; Programming; Sequential analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Testing, Verification, and Analysis, 1988., Proceedings of the Second Workshop on
  • Conference_Location
    Banff, Alta.
  • Print_ISBN
    0-8186-0868-4
  • Type

    conf

  • DOI
    10.1109/WST.1988.5366
  • Filename
    5366