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
Subjects
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.