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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.