EconPapers    
Economics at your fingertips  
 

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

Romaisa Sabir, Salman Hassan, Muhammad Hamza Ittifaq, Muhammad Waseem Iqbal, Mohsin Raza, Ahmad Raza and Pehroze Fatima
Additional contact information
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

Bulletin of Business and Economics (BBE), 2024, vol. 13, issue 1, 653-661

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.

Keywords: Software architecture; COVID-19; Machine learning; Evaluation of Architecture (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://bbejournal.com/BBE/article/view/736/702 (application/pdf)
https://bbejournal.com/BBE/article/view/736 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rfh:bbejor:v:13:y:2024:i:1:p:653-661

DOI: 10.61506/01.00252

Access Statistics for this article

Bulletin of Business and Economics (BBE) is currently edited by Dr. Muhammad Irfan Chani

More articles in Bulletin of Business and Economics (BBE) from Research Foundation for Humanity (RFH) Contact information at EDIRC.
Bibliographic data for series maintained by Dr. Muhammad Irfan Chani ().

 
Page updated 2025-03-19
Handle: RePEc:rfh:bbejor:v:13:y:2024:i:1:p:653-661