Vulnerability Prediction From Source Code Using Machine Learning
Vulnerability Prediction From Source Code Using Machine Learning is a scholarly work, published in 2020 in ''IEEE Access''. The main subjects of the publication include code, reliability engineering, Android, source code, artificial intelligence, vulnerability, software engineering, machine learning, and computer science. The authors examine how to predict software vulnerabilities from source code by employing ML prior to their release.