• DocumentCode
    3441792
  • Title

    Modeling dynamic changes of workflow: A composite approach

  • Author

    Gao, Xinqin ; Li, Yan ; Yang, Mingshun ; Wei, Fengtao ; Xu, Erbao

  • Author_Institution
    Sch. of Mech. & Precision Instrum. Eng., Xi´´an Univ. of Technol., Xi´´an, China
  • Volume
    3
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    606
  • Lastpage
    610
  • Abstract
    Workflow is a promising technology for realizing process-oriented information systems. However, the traditional workflow management systems are designed to handle the static business processes. How to model dynamic changes of workflow is one of hotspots of current research. The unified modeling language (UML) and polychromatic sets (PS) theory are introduced and their advantages and disadvantages are analyzed, and a composite approach to modeling dynamic changes of workflow is proposed. Based on this composite approach, the UML activity diagram models and PS contour matrix models of the most common dynamic workflow changes, such as addition, deletion and structural transform of nodes, are established and described formally. Research results show that the proposed modeling approach of dynamic workflow changes has an easy-to-understand graphical feature and a well-defined mathematical foundation. Furthermore, it can provide a significant progress and advantage in problem formalization for running instances migration.
  • Keywords
    Unified Modeling Language; set theory; workflow management software; PS contour matrix models; UML activity diagram models; Unified Modeling Language; dynamic workflow change modeling; polychromatic set theory; process-oriented information systems; workflow management systems; workflow technology; Analytical models; Artificial neural networks; Business; Data models; Mathematical model; OWL; Unified modeling language; dynamic change; polychromatic sets; unified modeling language (UML); workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658408
  • Filename
    5658408