Year: 2025
Type: article
Abstract: : In the rapidly evolving landscape of software development, maintaining high-quality, efficient, and maintainable code has become more critical than ever. Traditional code refactoring techniques, while effective, often require significant manual effort, leading to increased development time and technical debt. This paper explores how artificial intelligence (AI)-driven code refactoring is revolutionizing software quality by automating optimizations, identifying anti-patterns, and suggesting best practices in real time. By leveraging machine learning models, AI-assisted tools can enhance code readability, performance, and security while reducing errors. Furthermore, this paper examines how AI-driven refactoring fosters developer growth by providing intelligent insights, personalized recommendations, and continuous learning opportunities.
Author: Prof. Sowmya N
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410360499