• DocumentCode
    3140738
  • Title

    Performance Analysis of Generalized Well-formed Workflow

  • Author

    Nie, Zuoxian ; Jiang, Xin-Hua ; Liu, Jian-Cheng ; Yang, Hai-Yan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    666
  • Lastpage
    671
  • Abstract
    Performance of workflow schema including overlapping patterns can not be computed by regular reducing approaches, and that excluding overlapping patterns from workflow schema will lose flexibility in schema design, introduce redundant nodes, and make it difficult to describe complex business process. To solve this problem, the concept of generalized well-formed workflow was proposed, in which overlapping patterns can appear in a workflow schema but not in any of its instance subgraphs. Further more, to meet the need of frequently re-computing of process performance after business process reengineering, methods for automatically computing routing probability and time performance of each instance subgraph are proposed, which are basis for our automatic performance analysis algorithm of whole workflow schema. Finally, an example was given to demonstrate the process of performance analysis of a generalized well-formed workflow.
  • Keywords
    business process re-engineering; graph theory; probability; workflow management software; business process reengineering; generalized well-formed workflow schema; instance subgraph; overlapping pattern; performance analysis; routing probability; Algebra; Algorithm design and analysis; Business process re-engineering; Design engineering; Error correction; Information science; Pattern analysis; Performance analysis; Routing; Unified modeling language; generalized well-formed workflow; instance subgraph; performance analysis; workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.56
  • Filename
    5222945