Code Explanation

Code explanation research focuses on automatically generating natural language descriptions of code snippets, aiming to improve code understanding for both programmers and students. Current efforts leverage large language models (LLMs), particularly those fine-tuned on code datasets, to produce explanations ranging from high-level summaries to detailed, line-by-line analyses, often incorporating techniques like chain-of-thought prompting to enhance accuracy. This work holds significant potential for improving software maintenance, debugging, and programming education by automating the creation of documentation and learning materials, and by assisting in the identification and correction of logical errors.