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Analyzing the Software Architecture of ML-based Covid-19 Detection System: Future Challenges and Opportunities

Author

Listed:
  • Romaisa Sabir

    (Department of Computer Science, Superior University, Lahore, Pakistan)

  • Salman Hassan

    (Department of Computer Science, Superior University, Lahore, Pakistan)

  • Muhammad Hamza Ittifaq

    (Department of Computer Science, Superior University, Lahore, Pakistan)

  • Muhammad Waseem Iqbal

    (Department of Software Engineering, Superior University, Lahore, Pakistan)

  • Mohsin Raza

    (Faculty of Computer Science Alshifa Institute of Life Sciences Pakistan)

  • Ahmad Raza

    (Department of Computer Science, University of Engineering and Technology Lahore, Pakistan)

  • Pehroze Fatima

    (Department of Computer Science, University of Engineering and Technology Lahore, Pakistan)

Abstract

Two major study topics have emerged because of the challenges in software architecture and ML working together as modern software systems produce a vast amount of data that is supported particularly by machine learning (ML), and artificial intelligence (AI) to produce useful insights. Software architecture for machine learning systems that primarily concerned with creating architectural methods for creating ML systems more effectively; ii) ML for Software architectures is concerned with creating ML methods for better-developing software systems. This study focuses on the ML-based software systems' architecture to highlight the many architectural methods currently in use. To more clearly identify a set of acceptable standards for designing ML-based software systems we explore four crucial components of software architecture in this work that demand the focus of ML and software developers. These areas are based on an ML-based software system for addressing challenges in the COVID-19 detecting system.

Suggested Citation

  • Romaisa Sabir & Salman Hassan & Muhammad Hamza Ittifaq & Muhammad Waseem Iqbal & Mohsin Raza & Ahmad Raza & Pehroze Fatima, 2024. "Analyzing the Software Architecture of ML-based Covid-19 Detection System: Future Challenges and Opportunities," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 653-661.
    • Handle: RePEc:rfh:bbejor:v:13:y:2024:i:1:p:653-661
    DOI: https://doi.org/10.61506/01.00252
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