Audris Mockus

Autonomous Refactoring for Perfective Maintenance at Scale: The Agentic RACER System and its Empirical Evaluations

Developing a GenAI agent that autonomously formulates, prioritizes, and completes a limited set of code improvement tasks enterprise-wide is reported, and a Difference-in-Differences analysis found that automated improvements had an effect on the reduction of future maintenance effort that was as strong as or stronger than manual improvements confirming the feasibility of autonomous maintenance.