Generative Models for Source Code: Fine-Tuning Techniques for Structured Pattern Learning

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 st...

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Bibliographic Details
Main Authors: Valentina Franzoni, Silvia Tagliente, Alfredo Milani
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Technologies
Subjects:
generative models
automatic code generation
source code quality
software development
transfer learning
artificial intelligence
Online Access:https://www.mdpi.com/2227-7080/12/11/219
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