IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-030-86800-0_24.html
   My bibliography  Save this book chapter

Making a Case for Multi-level Reference Modeling – A Comparison of Conventional and Multi-level Language Architectures for Reference Modeling Challenges

In: Innovation Through Information Systems

Author

Listed:
  • Sybren Kinderen

    (University of Duisburg-Essen)

  • Monika Kaczmarek-Heß

    (University of Duisburg-Essen)

Abstract

As a continuation of our earlier work, in this paper we focus on the suitability of multi-level modeling for the creation and use of reference models. Specifically, we first discuss known challenges of reference modeling. Then, using the UML (for conventional meta modeling) and the FMMLx (for multi-level modeling) as language architectures of choice, we show how conventional meta modeling contributes to challenges of reference modeling, and how the added flexibility and expressiveness of multi-level modeling can address these. We use an excerpt of NISTIR 7628, a well-established reference model for smart grid cyber security, as an illustrative scenario.

Suggested Citation

  • Sybren Kinderen & Monika Kaczmarek-Heß, 2021. "Making a Case for Multi-level Reference Modeling – A Comparison of Conventional and Multi-level Language Architectures for Reference Modeling Challenges," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 342-358, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-86800-0_24
    DOI: 10.1007/978-3-030-86800-0_24
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:lnichp:978-3-030-86800-0_24. 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.