DEVOPS-DRIVEN SOFTWARE ENGINEERING: AUTOMATING DEPLOYMENT AND SCALABILITY THROUGH CLOUD-BASED IT FRAMEWORKS

Authors

  • Anees Muhammad
  • Humair Khan Bughio
  • Anjum Ara

Keywords:

DevOps Adoption, Automation Practices, Cloud Integration, Deployment Efficiency, System Scalability, Team Collaboration Efficiency, Karachi Software Industry, PLS-SEM Analysis

Abstract

The research attempts to explore how DevOps-led software engineering and cloud-based IT frameworks in the region’s fast-rising software sector can increase deployment efficiency and system scalability. Utilizing a quantitative research outline and a SmartPLS-based structural equation modeling platform, the study gathers information from 384 IT professionals working in various top software firms. The results indicate that DevOps adoption, automation practices and cloud integration significantly increase deployment efficiency and scalability and finally by team collaboration efficiency acting as a pivotal mediator. Cloud integration also moderates the relationship between DevOps adoption and deployment goals, thus strengthening the overall performance effect. These results contribute to the field and clarify how DevOps standards with automation and culture blend to form a scalable, efficient, and adaptable software engineering sector suitable for rapidly expanding IT sectors such as Pakistan

Downloads

Published

2025-11-03

How to Cite

Anees Muhammad, Humair Khan Bughio, & Anjum Ara. (2025). DEVOPS-DRIVEN SOFTWARE ENGINEERING: AUTOMATING DEPLOYMENT AND SCALABILITY THROUGH CLOUD-BASED IT FRAMEWORKS. Spectrum of Engineering Sciences, 3(11), 53–66. Retrieved from https://thesesjournal.com/index.php/1/article/view/1407