Controlled Self Evolving Code Optimization Engine

14 May
Posted on Author

Authors: K. Deepthi, M. Janaki Reddy, M. Prathyusha, Dr. J. Mercy Geraldine

Abstract: This Software systems require continuous optimization to maintain performance, scalability, and maintainability. Traditional optimization approaches rely on manual developer intervention or static compiler-level improvements that cannot adapt to runtime variations. Recent AI based programming tools provide automated suggestions but lack autonomous validation and controlled evolution capabilities [1],[2]. This project proposes a Controlled Self-Evolving Code Optimization Engine, an intelligent system that analyzes execution behavior, detects inefficiencies, generates opti mized code variants, validates them through automated testing, and selectively integrates improvements. The proposed system introduces controlled software evolution that ensures safety, reliability, and adaptive performance tuning while maintaining developer oversight.

DOI: https://doi.org/10.5281/zenodo.20177151