Generative Models for Source Code: Fine-Tuning Techniques for Structured Pattern Learning
This study addresses the problem of how to automatically generate source code that is not only functional, but also well-structured, readable, and maintainable.Existing generative models for source code often produce functional code, but they lack consistency in structure and adherence to coding standards, essential for integration into existing ap