AI-DRIVEN CODE REFACTORING SYSTEMS THAT OPTIMIZE LEGACY SYSTEMS WHILE PRESERVING BUSINESS LOGIC
Keywords:
Legacy Systems, Code Refactoring, Artificial Intelligence, Business Logic Preservation, Technical Debt, Automated Modernization, Program TransformationAbstract
Legacy software systems represent both critical organizational assets and significant technicalburdens. These systems contain decades of accumulated business logic embedded in outdatedcode structures that resist modernization efforts. Traditional refactoring approaches struggle with the complexity
References
Anderson, K. (2024) 'Evolution of automated refactoring tools in modern IDEs', Software Engineering Journal, 15(2), pp. 134-156.
Downloads
Published
2024-03-20
How to Cite
Dr. T. Prem Chander,Dr. B.K Sarkar [Patent Guru]. (2024). AI-DRIVEN CODE REFACTORING SYSTEMS THAT OPTIMIZE LEGACY SYSTEMS WHILE PRESERVING BUSINESS LOGIC . Journal of Computational Analysis and Applications (JoCAAA), 32(2), 742–758. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4571
Issue
Section
Articles
