End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks

7 Mar 2017 Min-Je Choi Sehun Jeong Hakjoo Oh Jaegul Choo

Detecting buffer overruns from a source code is one of the most common and yet challenging tasks in program analysis. Current approaches have mainly relied on rigid rules and handcrafted features devised by a few experts, limiting themselves in terms of flexible applicability and robustness due to diverse bug patterns and characteristics existing in sophisticated real-world software programs... (read more)

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Methods used in the Paper

Memory Network
Working Memory Models