AI-Powered Vulnerability Detection for Secure Source Code Development
- 12 May 2023
- book chapter
- Published by Springer Nature
- p. 275-288
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Automated Vulnerability Detection in Source Code Using Deep Representation Learning2018
- VulDeePecker: A Deep Learning-Based System for Vulnerability Detection2018
- "Why Should I Trust You?"2016
- Toward Large-Scale Vulnerability Discovery using Machine Learning2016
- Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection2015
- Predicting Vulnerable Software Components via Text MiningIEEE Transactions on Software Engineering, 2014
- Generalized vulnerability extrapolation using abstract syntax trees2012
- Why do programmers make security errors?2011
- Fault-prone module detection using large-scale text features based on spam filteringEmpirical Software Engineering, 2009
- Abstract syntax from concrete syntax1997