397 citations · 594 across the 8 of their papers we have counts for
4 papers · 1 filter
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
Zimin Chen, Steve Kommrusch, Martin Monperrus
In this paper, we address the problem of automatic repair of software vulnerabilities with deep learning. The major problem with data-driven vulnerability repair is that the few ex…
A Software-Repair Robot based on Continual Learning
Benoit Baudry, Zimin Chen, Khashayar Etemadi +8
Software bugs are common and correcting them accounts for a significant part of costs in the software development and maintenance process. This calls for automatic techniques to de…
Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities
Zimin Chen, Steve Kommrusch, Martin Monperrus
Software vulnerabilities affect all businesses and research is being done to avoid, detect or repair them. In this article, we contribute a new technique for automatic vulnerabilit…
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Zimin Chen, Steve Kommrusch, Michele Tufano +3
This paper presents a novel end-to-end approach to program repair based on sequence-to-sequence learning. We devise, implement, and evaluate a system, called SequenceR, for fixing…