점진적 코드 개선을 위한 AST 기반의 코드 특징 추출 방법

다국어 초록 (Multilingual Abstract)

Though many people are learning to program using generative AI, most of them have trouble understanding the generated code. The main reason is using them blindly hinders people from tracking the code modification. This paper proposes a method for extracting features of code structure for incremental code improvement. This approach is important to improve problem-solving-oriented programming skills since generative AI presents code that meets the users questions regardless of the learners level or intent. By leveraging features of code structure to improve code incrementally, we expect to improve the programming skills required for problem-solving.