397 citations · 726 across the 11 of their papers we have counts for
5 papers · 1 filter
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 to Fix Build Errors with Graph2Diff Neural Networks
Daniel Tarlow, Subhodeep Moitra, Andrew Rice +4
Professional software developers spend a significant amount of time fixing builds, but this has received little attention as a problem in automatic program repair. We present a new…
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…
A Literature Study of Embeddings on Source Code
Zimin Chen, Martin Monperrus
Natural language processing has improved tremendously after the success of word embedding techniques such as word2vec. Recently, the same idea has been applied on source code with…
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…