Automated Vulnerability Detection in Source Code Using Deep Representation Learning

J. C. King, “Symbolic execution and program testing,” Commun. ACM

1976

Earlier work this paper cites.

T. D. LaToza, G. Venolia, and R. DeLine, “Maintaining mental models: A study of developer work habits,” in Proc. 28th Int. Conf. Software Engineering

2006

Earlier work this paper cites.

Z. Xu, T. Kremenek, and J. Zhang, “A memory model for static analysis of C programs,” in Proc. 4th Int. Conf. Leveraging Applications of Formal Methods, Verification, and Validation

2010

Earlier work this paper cites.

A. Hovsepyan, R. Scandariato, W. Joosen, and J. Walden, “Software vulnerability prediction using text analysis techniques,” in Proc. 4th Int. Workshop Security Measurements and Metrics

2012

Earlier work this paper cites.

T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean, “Distributed representations of words and phrases and their compositionality,” in Advances in Neural Information Processing Systems

2013

Earlier work this paper cites.

D. Yadron, “After heartbleed bug, a race to plug internet hole,” Wall Street Journal

2014

Earlier work this paper cites.

L. Mou, G. Li, Z. Jin, L. Zhang, and T. Wang, “TBCNN: A tree-based convolutional neural network for programming language processing,” CoRR

2014

Cited alongside, same era.

Y. Kim, “Convolutional neural networks for sentence classification,” in Proc. 2014 Conf. Empirical Methods in Natural Language Processing (EMNLP)

2014

Cited alongside, same era.

Y. Pang, X. Xue, and A. S. Namin, “Predicting vulnerable software components through n-gram analysis and statistical feature selection,” in 2015 IEEE 14th Int. Conf. Machine Learning and Applications (ICMLA)

2015

Cited alongside, same era.

http://dx.doi.org/10.1109/TSE.2015.2454513

C. Le Goues et al · 2015

Cited alongside, same era.

B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba, “Learning deep features for discriminative localization,” in Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on

Original

C. Arnold, “After Equifax hack, calls for big changes in credit reporting industry.” http://www.npr.org/2017/10/18/558570686/after-equifax-hack-calls-for-big-changes-in-credit-reporting-industry, 2017

2017

Later among the works it cites.

https://samate.nist.gov/SRD/testsuite.php

NIST, Juliet test suite v1.3 · 2017

Later among the works it cites.

M. Allamanis, E. T. Barr, P. T. Devanbu, and C. A. Sutton, “A survey of machine learning for Big Code and naturalness,” CoRR

Original

2017

Later among the works it cites.

Y. Zhou and A. Sharma, “Automated identification of security issues from commit messages and bug reports,” in Proc. 2017 11th Joint Meeting Foundations of Software Engineering

2017

Later among the works it cites.

Z. Li et al

Original

2018