397 citations · 726 across the 11 of their papers we have counts for
3 papers · 2 filters
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…
Learning the Relation between Code Features and Code Transforms with Structured Prediction
Zhongxing Yu, Matias Martinez, Zimin Chen +2
To effectively guide the exploration of the code transform space for automated code evolution techniques, we present in this paper the first approach for structurally predicting co…
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…