AI-DEVGUARD: AN ARTIFICIAL INTELLIGENCE FRAMEWORK FOR AUTOMATING AND SECURING THE SOFTWARE DEVELOPMENT LIFE CYCLE

Authors

  • Sherbano Saleem
  • Dr. Kashif Laeeq
  • Dr. Muhammad Asad Abbasi

Keywords:

Artificial Intelligence, Software Development Life Cycle, AI-driven framework, AI-DevGuard, DevOps pipelines

Abstract

The innovation of Artificial Intelligence (AI) has continued to positively impact numerous fields, including software development. In this research, we present the AI-DevGuard, an AI powered architecture designed to automate and protect subdivisions of the software development life cycle (SDLC) using intelligent tools and techniques. Using AI-DevGuard, software development teams will be able to automate the detection of bugs, improve the precision of the software, construct the software using an automated process, and improve the protection of the software through the early detection of bugs. This research will perform an in-depth analysis of the potential of AI-DevGuard in reducing the effect of human negligence, facilitating the shortening of time frames, and increasing the security in the development process. Here, we fully describe the unique plug and play design of AI-DevGuard and its compatibility to leading development tools that allows it to seamlessly integrate into the existing development tools of today’s DevOps.

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Published

2026-04-07

How to Cite

Sherbano Saleem, Dr. Kashif Laeeq, & Dr. Muhammad Asad Abbasi. (2026). AI-DEVGUARD: AN ARTIFICIAL INTELLIGENCE FRAMEWORK FOR AUTOMATING AND SECURING THE SOFTWARE DEVELOPMENT LIFE CYCLE. Spectrum of Engineering Sciences, 4(4), 50–63. Retrieved from https://www.thesesjournal.com/index.php/1/article/view/2380