1. Software Metrics and Security Vulnerabilities: Dataset and Exploratory Study
2. VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
3. Rabaya Sultana Mim Toukir Ahammed and Kazi Sakib. 2023. Identifying Vulnerable Functions from Source Code using Vulnerability Reports. In IWESQ/QuASoQ@APSEC. https://api.semanticscholar.org/CorpusID:266874061
4. Yaqin Zhou, Shangqing Liu, Jingkai Siow, Xiaoning Du, and Yang Liu. 2019. Devign: Effective vulnerability identification by learning comprehensive program semantics via graph neural networks. Advances in neural information processing systems 32 (2019).