activity
20182023
most citedA Literature Study of Embeddings on Source Code

56 citations · 59 across the 3 of their papers we have counts for

collaborators

7 papers

cs.SE2023

MuRS: Mutant Ranking and Suppression using Identifier Templates

Zimin Chen, Malgorzata Salawa, Manushree Vijayvergiya +3

Diff-based mutation testing is a mutation testing approach that only mutates lines affected by a code change under review. Google's mutation testing service integrates diff-based m…

cs.SE20193 cited

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…

cs.LG2019

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…

cs.LG201956 cited

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…

cs.SE2019

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…

cs.SE2018

The Remarkable Role of Similarity in Redundancy-based Program Repair

Zimin Chen, Martin Monperrus

Recently, there have been original attempts to use the concept of "code similarity" in program repair, suggesting that similarity analysis has an important role in the repair proce…