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Neural Program Repair by Jointly Learning to Localize and Repair

Neural Program Repair by Jointly Learning to Localize and Repair

3 April 2019
Marko Vasic
Aditya Kanade
Petros Maniatis
David Bieber
Rishabh Singh
ArXiv (abs)PDFHTML

Papers citing "Neural Program Repair by Jointly Learning to Localize and Repair"

46 / 46 papers shown
Title
Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
André Silva
Gustav Thorén
Martin Monperrus
68
0
0
23 May 2025
SoK: Towards Effective Automated Vulnerability Repair
SoK: Towards Effective Automated Vulnerability Repair
Ying Li
Faysal hossain shezan
Bomin wei
Gang Wang
Yuan Tian
201
2
0
31 Jan 2025
Hypothesis Search: Inductive Reasoning with Language Models
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang
E. Zelikman
Gabriel Poesia
Yewen Pu
Nick Haber
Noah D. Goodman
ReLMLRM
124
112
0
11 Sep 2023
Neuro-Symbolic Execution of Generic Source Code
Neuro-Symbolic Execution of Generic Source Code
Yaojie Hu
Jin Tian
NAI
85
0
0
23 Mar 2023
Improving Automated Program Repair with Domain Adaptation
Improving Automated Program Repair with Domain Adaptation
Armin Zirak
Hadi Hemmati
62
11
0
21 Dec 2022
JEMMA: An Extensible Java Dataset for ML4Code Applications
JEMMA: An Extensible Java Dataset for ML4Code Applications
Anjan Karmakar
Miltiadis Allamanis
Romain Robbes
VLM
55
3
0
18 Dec 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with
  CodeT5
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
Nghi D. Q. Bui
Yue Wang
Steven C. H. Hoi
60
17
0
27 Nov 2022
Infrared: A Meta Bug Detector
Infrared: A Meta Bug Detector
Chi Zhang
Yu Wang
Linzhang Wang
58
1
0
18 Sep 2022
Learning Program Representations with a Tree-Structured Transformer
Learning Program Representations with a Tree-Structured Transformer
Wenhan Wang
Kechi Zhang
Ge Li
Shangqing Liu
Anran Li
Zhi Jin
Yang Liu
69
5
0
18 Aug 2022
Neurosymbolic Repair for Low-Code Formula Languages
Neurosymbolic Repair for Low-Code Formula Languages
Rohan Bavishi
Harshit Joshi
José Pablo Cambronero Sánchez
Anna Fariha
Sumit Gulwani
Vu Le
Ivan Radicek
A. Tiwari
62
13
0
24 Jul 2022
What does Transformer learn about source code?
What does Transformer learn about source code?
Kechi Zhang
Ge Li
Zhi Jin
ViT
90
8
0
18 Jul 2022
Can we learn from developer mistakes? Learning to localize and repair
  real bugs from real bug fixes
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes
Cedric Richter
Heike Wehrheim
53
8
0
01 Jul 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models
  of Source Code
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
Changan Niu
Chuanyi Li
Bin Luo
Vincent Ng
SyDaVLM
107
50
0
24 May 2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable
  Usage Representations
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations
Xiaoyu Liu
Jinu Jang
Neel Sundaresan
Miltiadis Allamanis
Alexey Svyatkovskiy
71
2
0
23 May 2022
A Survey of Deep Learning Models for Structural Code Understanding
A Survey of Deep Learning Models for Structural Code Understanding
Ruoting Wu
Yuxin Zhang
Qibiao Peng
Liang Chen
Zibin Zheng
83
7
0
03 May 2022
On Distribution Shift in Learning-based Bug Detectors
On Distribution Shift in Learning-based Bug Detectors
Jingxuan He
Luca Beurer-Kellner
Martin Vechev
62
19
0
21 Apr 2022
Example-based Synthesis of Static Analysis Rules
Example-based Synthesis of Static Analysis Rules
P. Garg
Srinivasan H. Sengamedu
20
1
0
19 Apr 2022
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar
Yaojie Hu
Xingjian Shi
Qiang Zhou
Lee Pike
KELM
75
13
0
13 Apr 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with
  External Resource Descriptions
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
David Bieber
Rishab Goel
Daniel Zheng
Hugo Larochelle
Daniel Tarlow
62
15
0
07 Mar 2022
Neural Program Repair: Systems, Challenges and Solutions
Neural Program Repair: Systems, Challenges and Solutions
Wenkang Zhong
Chuanyi Li
Jidong Ge
B. Luo
69
13
0
22 Feb 2022
A Survey on Machine Learning Techniques for Source Code Analysis
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
83
65
0
18 Oct 2021
Jointly Learning to Repair Code and Generate Commit Message
Jointly Learning to Repair Code and Generate Commit Message
Jiaqi Bai
Long Zhou
Ambrosio Blanco
Shujie Liu
Furu Wei
Ming Zhou
Zhoujun Li
46
4
0
25 Sep 2021
DeepMutants: Training neural bug detectors with contextual mutations
DeepMutants: Training neural bug detectors with contextual mutations
Cedric Richter
Heike Wehrheim
93
3
0
14 Jul 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair
Break-It-Fix-It: Unsupervised Learning for Program Repair
Michihiro Yasunaga
Percy Liang
116
109
0
11 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification
Understanding Neural Code Intelligence Through Program Simplification
Md Rafiqul Islam Rabin
Vincent J. Hellendoorn
Mohammad Amin Alipour
AAML
103
61
0
07 Jun 2021
Self-Supervised Bug Detection and Repair
Self-Supervised Bug Detection and Repair
Miltiadis Allamanis
Henry Jackson-Flux
Marc Brockschmidt
131
107
0
26 May 2021
Perfection Not Required? Human-AI Partnerships in Code Translation
Perfection Not Required? Human-AI Partnerships in Code Translation
Justin D. Weisz
Michael J. Muller
Stephanie Houde
John T. Richards
Steven I. Ross
Fernando Martinez
Mayank Agarwal
Kartik Talamadupula
72
131
0
08 Apr 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Percy Liang
OOD
309
1,452
0
14 Dec 2020
On the Embeddings of Variables in Recurrent Neural Networks for Source
  Code
On the Embeddings of Variables in Recurrent Neural Networks for Source Code
Nadezhda Chirkova
26
0
0
23 Oct 2020
Patching as Translation: the Data and the Metaphor
Patching as Translation: the Data and the Metaphor
Yangruibo Ding
Baishakhi Ray
Prem Devanbu
Vincent Hellendoorn
189
67
0
24 Aug 2020
Synthesize, Execute and Debug: Learning to Repair for Neural Program
  Synthesis
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis
Kavi Gupta
Peter Ebert Christensen
Xinyun Chen
Basel Alomair
NAI
78
53
0
16 Jul 2020
Learning Graph Structure With A Finite-State Automaton Layer
Learning Graph Structure With A Finite-State Automaton Layer
Daniel D. Johnson
Hugo Larochelle
Daniel Tarlow
GNNAI4CE
77
17
0
09 Jul 2020
Exploring Software Naturalness through Neural Language Models
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
86
98
0
22 Jun 2020
MACER: A Modular Framework for Accelerated Compilation Error Repair
MACER: A Modular Framework for Accelerated Compilation Error Repair
Darshak Chhatbar
Umair Z. Ahmed
Purushottam Kar
44
13
0
28 May 2020
A Structural Model for Contextual Code Changes
A Structural Model for Contextual Code Changes
Shaked Brody
Uri Alon
Eran Yahav
KELM
99
7
0
27 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback
Michihiro Yasunaga
Percy Liang
LRM
127
176
0
20 May 2020
Learning Semantic Program Embeddings with Graph Interval Neural Network
Learning Semantic Program Embeddings with Graph Interval Neural Network
Yu Wang
Fengjuan Gao
Linzhang Wang
Ke Wang
GNN
108
63
0
18 May 2020
Typilus: Neural Type Hints
Typilus: Neural Type Hints
Miltiadis Allamanis
Earl T. Barr
Soline Ducousso
Zheng Gao
140
134
0
06 Apr 2020
Code Prediction by Feeding Trees to Transformers
Code Prediction by Feeding Trees to Transformers
Seohyun Kim
Jinman Zhao
Yuchi Tian
S. Chandra
140
220
0
30 Mar 2020
Semantic Robustness of Models of Source Code
Semantic Robustness of Models of Source Code
Goutham Ramakrishnan
Jordan Henkel
Zi Wang
Aws Albarghouthi
S. Jha
Thomas W. Reps
SILMAAML
109
98
0
07 Feb 2020
Learning and Evaluating Contextual Embedding of Source Code
Learning and Evaluating Contextual Embedding of Source Code
Aditya Kanade
Petros Maniatis
Gogul Balakrishnan
Kensen Shi
ELM
87
77
0
21 Dec 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks
Learning to Fix Build Errors with Graph2Diff Neural Networks
Daniel Tarlow
Subhodeep Moitra
Andrew Rice
Zimin Chen
Pierre-Antoine Manzagol
Charles Sutton
E. Aftandilian
GNN
124
65
0
04 Nov 2019
SPoC: Search-based Pseudocode to Code
SPoC: Search-based Pseudocode to Code
Sumith Kulal
Panupong Pasupat
Kartik Chandra
Mina Lee
Oded Padon
A. Aiken
Percy Liang
79
231
0
12 Jun 2019
Neural Bug Finding: A Study of Opportunities and Challenges
Neural Bug Finding: A Study of Opportunities and Challenges
Andrew Habib
Michael Pradel
44
18
0
01 Jun 2019
Deep Learning for Bug-Localization in Student Programs
Deep Learning for Bug-Localization in Student Programs
Rahul Gupta
Aditya Kanade
S. Shevade
31
4
0
28 May 2019
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic
Badal Singh
Anima Anandkumar
71
50
0
18 Oct 2018
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