IDEAS home Printed from https://ideas.repec.org/a/igg/jismd0/v12y2021i3p27-43.html
   My bibliography  Save this article

An Incremental Model Projection Applied to Streamline Software Architecture Assessment and Monitoring

Author

Listed:
  • Salim Kadri

    (University of Batna 2, Algeria)

  • Sofiane Aouag

    (University of Batna 2, Algeria)

  • Djalal Hedjazi

    (University of Batna 2, Algeria)

Abstract

Managing software architecture represents a big challenge throughout the development lifecycle. The complexity of the involved structural elements and the relations among them make the specified models look oversized and fuzzy, which makes the architecture incomprehensible, hard to maintain, and difficult to assess its quality. This paper's goal is to propose a powerful methodology for simplifying and reducing models' complexity to increase understandability, smoothing maintenance, and facilitating architecture monitoring and assessment. For this purpose, the authors rely heavily on two major concepts, multi-view modeling, and incremental model projection. The multi-viewing requires that all models must have two main views to describe the architecture and the mapping to its relevant quality attributes. The incremental projection is a methodology used to specialize and minimize models progressively to make them simpler and clearer. The results show that projecting models incrementally can reduce and narrow them significantly.

Suggested Citation

  • Salim Kadri & Sofiane Aouag & Djalal Hedjazi, 2021. "An Incremental Model Projection Applied to Streamline Software Architecture Assessment and Monitoring," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 12(3), pages 27-43, July.
  • Handle: RePEc:igg:jismd0:v:12:y:2021:i:3:p:27-43
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISMD.2021070102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:igg:jismd0:v:12:y:2021:i:3:p:27-43. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.