IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v21y2022isupp01ns0219649222400044.html
   My bibliography  Save this article

CAPIRS: COVID-19-Based Application Programming Interface Recommendation System for the Developers

Author

Listed:
  • Muhammad Sajid Nawaz

    (Department of Computer Science, COMSATS University Islamabad (CUI), Islamabad, Pakistan)

  • Saif Ur Rehman Khan

    (Department of Computer Science, COMSATS University Islamabad (CUI), Islamabad, Pakistan)

  • Bashir Ahmad

    (Department of Computer Science, Qurtuba University, Dera Ismail Khan, Pakistan)

  • Javed Iqbal

    (Department of Computer Science, COMSATS University Islamabad (CUI), Islamabad, Pakistan)

  • Inayat-ur-Rehman

    (Department of Computer Science, COMSATS University Islamabad (CUI), Islamabad, Pakistan)

Abstract

Context: From the past few years, Application Programming Interface (API) is widely used for mobile- and web-based application developments. Software developers can integrate third-party services into their projects to achieve their development goals efficiently using APIs; however, with the rapid increase in the number of APIs, the manual selection of Mashup-oriented API is becoming more difficult for the developer. Objective: In the COVID-19 pandemic, everyone wants an update about the latest Standard Operating Procedures (SOPs) and the latest information on COVID-19. Additionally, a software developer wants to develop an application that provides the SOPs and latest information of COVID-19; a developer can add these functionalities into an application using COVID-19-based APIs. Moreover, the current work aims at proposing a COVID-19-based API recommendation system for the developers. Method: In this study, we propose a COVID-19-based API recommendation system for developers. The recommendation system takes a developer query as input and recommends top-3 APIs and supported features, which help the developer during software development. Furthermore, the proposed COVID-19-based API recommendation system ensures the maximum participation of the developers by validating the recommended APIs and recommendation system from the expert developers using research questionnaires. Results: Additionally, the proposed COVID-19-based API recommendation system’s output is validated by expert developers and evaluated on 120 expert developers’ queries. In addition, experiment results show that single value decomposition achieves better prediction. Conclusion: We conclude that it is significantly important to recommend APIs along with supported features to the developer for project development, and future work is needed to take more developer’s queries also to build Integrated Development Environment for the developers.

Suggested Citation

  • Muhammad Sajid Nawaz & Saif Ur Rehman Khan & Bashir Ahmad & Javed Iqbal & Inayat-ur-Rehman, 2022. "CAPIRS: COVID-19-Based Application Programming Interface Recommendation System for the Developers," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 21(Supp01), pages 1-30, May.
    • Handle: RePEc:wsi:jikmxx:v:21:y:2022:i:supp01:n:s0219649222400044
    DOI: 10.1142/S0219649222400044
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649222400044
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219649222400044?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:wsi:jikmxx:v:21:y:2022:i:supp01:n:s0219649222400044. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    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.