Automatic detection and correction of code errors applying machine learning - current research state
Aneta Poniszewska-Marańda, Wiktoria Sarniak · 2024
This paper presents an overview of the use of machine learning (ML) algorithms in automatically detecting and correcting errors in code. The main research questions focus on existing approaches, automatic error correction, and challenges related to the implementation of ML algorithms. The analysis of answers to these questions allowed us to understand the current state of knowledge and indicates the potential areas for further research and development of tools supporting programming through error detection.