Neural Code Model

Neural code models (NCMs) aim to understand and generate code using deep learning techniques, primarily focusing on improving code analysis tasks like defect detection and code generation. Current research emphasizes enhancing NCM robustness against adversarial attacks (e.g., backdoors) and improving model interpretability by analyzing attention mechanisms and identifying key input features that drive predictions. These efforts are crucial for building trustworthy and reliable NCMs, ultimately impacting software development through improved code quality, security, and developer productivity.