• Adedayo Wasiu Oluwaseun

The integration of Artificial Intelligence (AI) into software engineering presents a transformative opportunity, poised to revolutionize traditional software development processes. This research paper explores the profound impact AI can have on software engineering, focusing on key applications such as automated code generation, debugging, software testing, maintenance, project management, and decision-making. By leveraging advanced AI techniques such as machine learning, deep learning, and natural language processing, software engineering can achieve unprecedented levels of efficiency, accuracy, and innovation. The literature reveals significant advancements in AI-driven tools and methodologies, drawing parallels from successful AI implementations in fields like clinical and genomic diagnostics and healthcare. However, the integration of AI into software engineering is not without its challenges, including technical, ethical, and workforce-related issues. This paper aims to provide a comprehensive overview of AI applications in software engineering, supported by case studies and bibliometric analyses from healthcare to highlight potential lessons and trends. The findings underscore the potential for AI to transform software engineering while emphasizing the need for careful consideration of challenges to maximize the benefits.

"Harnessing AI for Advanced Software Engineering: Opportunities and Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.p594-p599, May-2023, Available :http://www.jetir.org/papers/JETIR2305G81.pdf

"Harnessing AI for Advanced Software Engineering: Opportunities and Challenges", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppp594-p599, May-2023, Available at : http://www.jetir.org/papers/JETIR2305G81.pdf