Code Classification

Code classification, the task of automatically categorizing source code, aims to improve program understanding and software development efficiency. Current research focuses on leveraging deep learning models, particularly those incorporating attention mechanisms (like Transformers) and graph neural networks (GNNs) operating on abstract syntax trees (ASTs) or hypergraphs, to capture code structure and semantics effectively. These advancements address challenges like computational cost and robustness to data variations, improving accuracy and efficiency in tasks such as code search and bug detection. The resulting improvements have significant implications for software engineering, enabling better code organization, automated code analysis, and enhanced software development tools.