IDEAS home Printed from https://ideas.repec.org/a/prg/jnlaip/v2023y2023i2id212p419-438.html
   My bibliography  Save this article

Visualisation of User Stories in UML Models: A Systematic Literature Review

Author

Listed:
  • Mohammad Nazrul Mornie
  • Nurfauza Jali
  • Syahrul Nizam Junaini
  • Edwin Mit
  • Cheah Wai Shiang
  • Suhaila Saee

Abstract

The use of agile methodology in software development projects is growing rapidly among industry professionals and academia. The Unified Modelling Language (UML) conventionally accompanies agile software development to model the software requirements. The user story is fundamental and should be identified to communicate the basic requirements between the development team and the stakeholders before the UML model such as the use case diagram, class diagrams and many others can be designed. However, there are several challenges associated with this process such as poorly organised user stories, natural language complexity and high time consumption to create them. A systematic literature review is conducted to grasp more knowledge about the utilisation of natural language processing (NLP) for UML model generation. A total of 198 papers were initially found in four online databases, namely Scopus, IEEE Xplore, ScienceDirect and ACM Digital Library, from the period 2018-2022. After removing duplicates, applying inclusion and exclusion criteria, and conducting the full-text assessment, only 20 papers are included as the primary studies. The primary studies are reviewed to discover several important pieces of information, namely the challenges of designing UML models, NLP tools and techniques used to generate UML models, UML models generated, and validation methods used for measuring the accuracy of generated models. Finally, this study discusses important elements related to UML model generation using NLP tools and techniques.

Suggested Citation

  • Mohammad Nazrul Mornie & Nurfauza Jali & Syahrul Nizam Junaini & Edwin Mit & Cheah Wai Shiang & Suhaila Saee, 2023. "Visualisation of User Stories in UML Models: A Systematic Literature Review," Acta Informatica Pragensia, Prague University of Economics and Business, vol. 2023(2), pages 419-438.
    • Handle: RePEc:prg:jnlaip:v:2023:y:2023:i:2:id:212:p:419-438
    DOI: 10.18267/j.aip.212
    as

    Download full text from publisher

    File URL: http://aip.vse.cz/doi/10.18267/j.aip.212.html
    Download Restriction: free of charge
    File URL: http://aip.vse.cz/doi/10.18267/j.aip.212.pdf
    Download Restriction: free of charge
    File URL: https://libkey.io/10.18267/j.aip.212?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:2023:y:2023:i:2:id:212:p:419-438. 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.