IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v3y2001i3d10.1023_a1011417710529.html
   My bibliography  Save this article

The OCoN Approach to Workflow Modeling in Object-Oriented Systems

Author

Listed:
  • G. Wirtz

    (Westfälische Wilhelms-Universität)

  • M. Weske

    (Technical University)

  • H. Giese

    (Universitäat-Gesamthochschule-Paderborn)

Abstract

Workflow management aims at modeling and executing application processes in complex technical and organizational environments. Modern information systems are often based on object-oriented design techniques, for instance, the Unified Modeling Language (UML). These systems consist of application objects which collaborate to achieve a common goal. Although application objects collaborate in the context of business processes that can be supported by workflow technology, workflow modeling is typically done with proprietary workflow languages. Hence, two separate formalisms are present for modeling application objects and workflows. In this paper we try to remedy this situation by proposing the use of Object Coordination Nets (OCoN) for workflow modeling. OCoN nets provide a seamless integration with UML structure diagrams. The OCoN formalism also helps to deal with all relevant aspects of modeling complex workflow systems in a scalable and consistent manner.

Suggested Citation

  • G. Wirtz & M. Weske & H. Giese, 2001. "The OCoN Approach to Workflow Modeling in Object-Oriented Systems," Information Systems Frontiers, Springer, vol. 3(3), pages 357-376, September.
    • Handle: RePEc:spr:infosf:v:3:y:2001:i:3:d:10.1023_a:1011417710529
    DOI: 10.1023/A:1011417710529
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1011417710529
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/A:1011417710529?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sherry X. Sun & J. Leon Zhao & Jay F. Nunamaker & Olivia R. Liu Sheng, 2006. "Formulating the Data-Flow Perspective for Business Process Management," Information Systems Research, INFORMS, vol. 17(4), pages 374-391, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:3:y:2001:i:3:d:10.1023_a:1011417710529. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.