IDEAS home Printed from https://ideas.repec.org/a/prg/jnlaip/v2022y2022i2id179p179-204.html
   My bibliography  Save this article

Incremental Model Transformation with Epsilon in Model-Driven Engineering

Author

Listed:
  • Marzieh Ghorbani
  • Mohammadreza Sharbaf
  • Bahman Zamani

Abstract

Model-Driven Engineering (MDE) is a software development paradigm that uses models as the main artifacts in the development process. MDE uses model transformations to propagate changes between source and target models. In some development scenarios, target models should be updated based on the evolution of source models. In such cases, it is required to re-execute all transformation rules to update the target model. Incremental execution of transformations, which partially executes the transformation rules, is a solution to this problem. The Epsilon Transformation Language (ETL) is a well-known model transformation language that does not support incremental executions. In this paper, we propose an approach to support the incremental execution of ETL transformations. Our proposal includes a process, as well as a prototype, to propagate changes to the target model. In the proposed approach, all the changes in the source model are detected to identify and re-execute the rules which deal with computing the required elements for updating the target model. We evaluated the correctness and performance of our approach by means of a case study. Compared to the standard ETL, the results are promising regarding the correctness of target models as well as faster execution of the transformation.

Suggested Citation

  • Marzieh Ghorbani & Mohammadreza Sharbaf & Bahman Zamani, 2022. "Incremental Model Transformation with Epsilon in Model-Driven Engineering," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2022(2), pages 179-204.
    • Handle: RePEc:prg:jnlaip:v:2022:y:2022:i:2:id:179:p:179-204
    DOI: 10.18267/j.aip.179
    as

    Download full text from publisher

    File URL: http://aip.vse.cz/doi/10.18267/j.aip.179.html
    Download Restriction: free of charge
    File URL: http://aip.vse.cz/doi/10.18267/j.aip.179.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.aip.179?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.

    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:prg:jnlaip:v:2022:y:2022:i:2:id:179:p:179-204. 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: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.html .

    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.