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Deep learning methods, which have found successful applications in fields like image classification and natural language processing, have recently been applied to source code analysis too, due to the enormous amount of freely available source code (e.g., from open-source software repositories).
On the naturalness of software
Hindle, A., Barr, E. T., Su, Z., Gabel, M., and Devanbu, P · 2012
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Efficient estimation of word representations in vector space
Mikolov, T., Chen, K., Corrado, G., and Dean, J · 2013
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Code completion with statistical language models
Raychev, V., Vechev, M., and Yahav, E · 2014
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Detecting copy directions among programs using extreme learning machines
Wang, B., Yang, X., and Wang, G · 2015
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A convolutional attention network for extreme summarization of source code
Allamanis, M., Peng, H., and Sutton, C. A · 2016
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Convolutional neural networks over tree structures for programming language processing
Mou, L., Li, G., Zhang, L., Wang, T., and Jin, Z · 2016
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Owasp top 10 - 2017
Foundation, O · 2017
Cited alongside, same era.
The state of open-source security, 2017
Snyk.io · 2017
Cited alongside, same era.
Automated identification of security issues from commit messages and bug reports
Zhou, Y., and Sharma, A · 2017
Cited alongside, same era.
A survey of machine learning for big code and naturalness
Allamanis, M., Barr, E. T., Devanbu, P., and Sutton, C · 2018
Cited alongside, same era.
code2seq: Generating sequences from structured representations of code
Alon, U., Brody, S., Levy, O., and Yahav, E · 2018
Cited alongside, same era.
Suggesting accurate method and class names
Allamanis, M., Barr, E. T., Bird, C., and Sutton, C
Cited in the paper.
2018-03-30
heartbleed bug, T · 2018
Later among the works it cites.
A practical approach to the automatic classification of security-relevant commits
Sabetta, A., and Bezzi, M · 2018
Later among the works it cites.
Yin, P., Neubig, G., Allamanis, M., Brockschmidt, M., and Gaunt, A. L · 2018
Later among the works it cites.
Code2vec: Learning distributed representations of code
Alon, U., Zilberstein, M., Levy, O., and Yahav, E · 2019
Closest in time.
A literature study of embeddings on source code
Chen, Z., and Monperrus, M · 2019
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A manually-curated dataset of fixes to vulnerabilities of open-source software
Ponta, S. E., Plate, H., Sabetta, A., Bezzi, M., and Dangremont, C
Cited in the paper.
Learning character-level representations for part-of-speech tagging
Santos, C. D., and Zadrozny, B
Cited in the paper.