MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611070226 A) filed by Ims Engineering College, Ghaziabad on June 04, 2026, for An Ai-Based System For Automated Code Refactoring And Optimization.
Inventors include Dr. Sonali Mathur; Mr. Basudeo Singh Roohani; Dr. Amit Chugh; and Mr. Anubhav Sharma.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to an AI-based system for automated code refactoring and optimization. The system receives a software codebase and generates structured code representations including abstract syntax trees, control flow graphs, data flow graphs, call graphs, dependency graphs, semantic embeddings, and code quality feature vectors. An artificial intelligence refactoring engine identifies code smells, redundant logic, inefficient execution patterns, insecure code, dead code, and maintainability issues. An optimization recommendation module generates optimized refactored code and assigns confidence, risk, performance, and maintainability scores. A semantic equivalence validation module verifies that the refactored code preserves original software behaviour by comparing data flow, input-output behaviour, interface stability, exception conditions, and test results. A controlled code modification module applies validated changes, while an audit reporting module records modifications, explanations, performance metrics, validation results, and rollback information. The invention improves automated software maintenance, code quality, execution efficiency, and refactoring reliability. Accompanied Drawing [FIGS. 1-2]
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