Towards Security Defect Prediction with AI
• Poster
This poster describes research comparing a state-of-the-art AI system to existing static analysis approaches for defect prediction.
Publisher
Software Engineering Institute
Topic or Tag
Abstract
In this project, the SEI investigated the limits of the current state-of-the-art AI system for detecting buffer overflows and compared it with current static analysis tools. Researchers also developed a code generator, sa-bAbI, capable of producing an arbitrarily large number of code samples of controlled complexity.