Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1901.01808
Cited By
v1
v2
v3 (latest)
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
24 December 2018
Zimin Chen
Steve Kommrusch
Michele Tufano
L. Pouchet
Denys Poshyvanyk
Monperrus Martin
KELM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair"
37 / 137 papers shown
Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules
Steve Kommrusch
Monperrus Martin
L. Pouchet
246
10
0
22 Sep 2021
Program Synthesis with Large Language Models
Jacob Austin
Augustus Odena
Maxwell Nye
Maarten Bosma
Henryk Michalewski
...
Ellen Jiang
Carrie J. Cai
Michael Terry
Quoc V. Le
Charles Sutton
ELM
AIMat
ReCod
ALM
418
2,869
0
16 Aug 2021
On Multi-Modal Learning of Editing Source Code
Saikat Chakraborty
Baishakhi Ray
KELM
206
67
0
15 Aug 2021
Predicting Patch Correctness Based on the Similarity of Failing Test Cases
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Haoye Tian
Yinghua Li
Weiguo Pian
Abdoul Kader Kaboré
Kui Liu
Andrew Habib
Jacques Klein
Tegawende F. Bissyande
142
35
0
28 Jul 2021
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
International Conference on Predictive Models in Software Engineering (PROMISE), 2021
G. Bhandari
Amara Naseer
Leon Moonen
156
228
0
19 Jul 2021
Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix
Wenshuo Wang
Chen Henry Wu
Liang Cheng
Yang Zhang
49
1
0
17 Jul 2021
A Syntax-Guided Edit Decoder for Neural Program Repair
Qihao Zhu
Zeyu Sun
Yuan-an Xiao
Wenjie Zhang
Kang Yuan
Y. Xiong
Jun Liu
KELM
365
262
0
15 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair
International Conference on Machine Learning (ICML), 2021
Michihiro Yasunaga
Abigail Z. Jacobs
239
121
0
11 Jun 2021
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models
Steven J Kommrusch
Théo Barollet
L. Pouchet
121
6
0
01 Jun 2021
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Ruchi Puri
David S. Kung
G. Janssen
Wei Zhang
Giacomo Domeniconi
...
Saurabh Pujar
Shyam Ramji
Ulrich Finkler
Susan Malaika
Frederick Reiss
187
325
0
25 May 2021
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons
Dawn Drain
Colin B. Clement
Guillermo Serrato
Neel Sundaresan
161
37
0
19 May 2021
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics
IEEE Transactions on Software Engineering (TSE), 2021
Toufique Ahmed
Noah Rose Ledesma
Prem Devanbu
194
26
0
29 Apr 2021
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
IEEE Transactions on Software Engineering (TSE), 2021
Zimin Chen
Steve Kommrusch
Monperrus Martin
251
153
0
16 Apr 2021
Generating Bug-Fixes Using Pretrained Transformers
Dawn Drain
Chen Henry Wu
Alexey Svyatkovskiy
Neel Sundaresan
144
55
0
16 Apr 2021
Embedding Code Contexts for Cryptographic API Suggestion:New Methodologies and Comparisons
Ya Xiao
Salman Ahmed
Wen-Kai Song
Xinyang Ge
Bimal Viswanath
D. Yao
123
5
0
15 Mar 2021
Unified Pre-training for Program Understanding and Generation
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Wasi Uddin Ahmad
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
407
851
0
10 Mar 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages
Neural Information Processing Systems (NeurIPS), 2021
Baptiste Roziere
Marie-Anne Lachaux
Marc Szafraniec
Guillaume Lample
AI4CE
212
162
0
15 Feb 2021
WheaCha: A Method for Explaining the Predictions of Models of Code
Yu Wang
Ke Wang
Linzhang Wang
FAtt
215
5
0
09 Feb 2021
Learning Structural Edits via Incremental Tree Transformations
International Conference on Learning Representations (ICLR), 2021
Ziyu Yao
Frank F. Xu
Pengcheng Yin
Huan Sun
Graham Neubig
CLL
343
31
0
28 Jan 2021
A Neural Question Answering System for Basic Questions about Subroutines
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2021
Aakash Bansal
Zachary Eberhart
Lingfei Wu
Collin McMillan
126
13
0
11 Jan 2021
Neural Software Analysis
Communications of the ACM (CACM), 2020
Michael Pradel
S. Chandra
NAI
219
36
0
16 Nov 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning
IEEE Transactions on Software Engineering (TSE), 2020
Jianlei Chi
YunHuan Qu
Ting Liu
Q. Zheng
Heng Yin
296
62
0
21 Oct 2020
Deep Learning & Software Engineering: State of Research and Future Directions
P. Devanbu
Matthew B. Dwyer
Sebastian G. Elbaum
M. Lowry
Kevin Moran
Denys Poshyvanyk
Baishakhi Ray
Rishabh Singh
Xiangyu Zhang
128
23
0
17 Sep 2020
Unit Test Case Generation with Transformers and Focal Context
Michele Tufano
Dawn Drain
Alexey Svyatkovskiy
Shao Kun Deng
Neel Sundaresan
ViT
265
240
0
11 Sep 2020
Patching as Translation: the Data and the Metaphor
Yangruibo Ding
Baishakhi Ray
Prem Devanbu
Vincent Hellendoorn
353
74
0
24 Aug 2020
Exploring Software Naturalness through Neural Language Models
Luca Buratti
Saurabh Pujar
Mihaela A. Bornea
Scott McCarley
Yunhui Zheng
...
Alessandro Morari
Jim Laredo
Veronika Thost
Yufan Zhuang
Giacomo Domeniconi
198
101
0
22 Jun 2020
Copy that! Editing Sequences by Copying Spans
Sheena Panthaplackel
Miltiadis Allamanis
Marc Brockschmidt
BDL
181
28
0
08 Jun 2020
Unsupervised Translation of Programming Languages
Marie-Anne Lachaux
Baptiste Roziere
L. Chanussot
Guillaume Lample
343
501
0
05 Jun 2020
A Structural Model for Contextual Code Changes
Shaked Brody
Uri Alon
Eran Yahav
KELM
244
7
0
27 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga
Abigail Z. Jacobs
LRM
232
187
0
20 May 2020
SCELMo: Source Code Embeddings from Language Models
Rafael-Michael Karampatsis
Charles Sutton
138
58
0
28 Apr 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
Steve Kommrusch
Théo Barollet
L. Pouchet
198
6
0
17 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges
ACM Computing Surveys (ACM CSUR), 2020
T. H. Le
Hao Chen
Muhammad Ali Babar
VLM
249
171
0
13 Feb 2020
Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities
Zimin Chen
Steve Kommrusch
Monperrus Martin
82
5
0
04 Dec 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks
International Conference on Software Engineering (ICSE), 2019
Daniel Tarlow
Subhodeep Moitra
Andrew Rice
Zimin Chen
Pierre-Antoine Manzagol
Charles Sutton
E. Aftandilian
GNN
276
66
0
04 Nov 2019
Learning the Relation between Code Features and Code Transforms with Structured Prediction
IEEE Transactions on Software Engineering (TSE), 2019
Zhongxing Yu
Matias Martinez
Zimin Chen
Tegawende F. Bissyande
Monperrus Martin
198
14
0
22 Jul 2019
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair
Thibaud Lutellier
L. Pang
H. Pham
Moshi Wei
Lin Tan
121
21
0
20 Jun 2019
Previous
1
2
3
