Learning to Fix Build Errors with Graph2Diff Neural Networks

International Conference on Software Engineering (ICSE), 2019

4 November 2019

Pierre-Antoine Manzagol

Papers citing "Learning to Fix Build Errors with Graph2Diff Neural Networks"

50 / 55 papers shown

Title
RepairAgent: An Autonomous, LLM-Based Agent for Program Repair Islem Bouzenia Prem Devanbu Michael Pradel LLMAG KELM 217 194 0 25 Mar 2024
Deep Learning for Code Intelligence: Survey, Benchmark and ToolkitACM Computing Surveys (ACM Comput. Surv.), 2023 Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 268 40 0 30 Dec 2023
InstructCoder: Instruction Tuning Large Language Models for Code EditingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Kaixin Li Qisheng Hu Xu Zhao Hui Chen Yuxi Xie Tiedong Liu Qizhe Xie Junxian He ALM SyDa 196 25 0 31 Oct 2023
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching M. Tol B. Sunar 227 7 0 24 Aug 2023
Code Llama: Open Foundation Models for Code Baptiste Rozière Jonas Gehring Fabian Gloeckle Sten Sootla Itai Gat ... Hugo Touvron Louis Martin Nicolas Usunier Thomas Scialom Gabriel Synnaeve ELM ALM 435 2,736 0 24 Aug 2023
Graph Neural Networks For Mapping Variables Between Programs -- Extended VersionEuropean Conference on Artificial Intelligence (ECAI), 2023 Pedro Orvalho Jelle Piepenbrock Mikolávs Janota Vasco M. Manquinho 246 0 0 24 Jul 2023
LExecutor: Learning-Guided Execution Beatriz Souza Michael Pradel SILM ELM 409 19 0 05 Feb 2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program RepairInternational Conference on Software Engineering (ICSE), 2023 Nan Jiang Thibaud Lutellier Xin Peng Lin Tan Dan Goldwasser Xinming Zhang 252 52 0 03 Feb 2023
A Library for Representing Python Programs as Graphs for Machine Learning David Bieber Kensen Shi Petros Maniatis Charles Sutton Vincent J. Hellendoorn Daniel D. Johnson Daniel Tarlow GNN AI4CE 126 5 0 15 Aug 2022
CoditT5: Pretraining for Source Code and Natural Language EditingInternational Conference on Automated Software Engineering (ASE), 2022 Jiyang Zhang Sheena Panthaplackel Pengyu Nie Junyi Jessy Li Miloš Gligorić KELM 215 112 0 10 Aug 2022
A Survey of Deep Learning Models for Structural Code Understanding Ruoting Wu Yuxin Zhang Qibiao Peng Liang Chen Zibin Zheng 200 8 0 03 May 2022
Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar Yaojie Hu Xingjian Shi Qiang Zhou Lee Pike KELM 163 15 0 13 Apr 2022
VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatementsIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2021 Yangruibo Ding Sahil Suneja Yunhui Zheng Jim Laredo Alessandro Morari Gail E. Kaiser Baishakhi Ray AAML 225 61 0 20 Dec 2021
Leveraging Automated Unit Tests for Unsupervised Code Translation Baptiste Roziere Jie M. Zhang François Charton Mark Harman Gabriel Synnaeve Guillaume Lample 313 147 0 13 Oct 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 398 2,808 0 16 Aug 2021
On Multi-Modal Learning of Editing Source Code Saikat Chakraborty Baishakhi Ray KELM 178 67 0 15 Aug 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 365 259 0 15 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program RepairInternational Conference on Machine Learning (ICML), 2021 Michihiro Yasunaga Abigail Z. Jacobs 223 120 0 11 Jun 2021
Learning to Extend Program Graphs to Work-in-Progress Code Xuechen Li Chris J. Maddison Daniel Tarlow 168 2 0 28 May 2021
Self-Supervised Bug Detection and RepairNeural Information Processing Systems (NeurIPS), 2021 Miltiadis Allamanis Henry Jackson-Flux Marc Brockschmidt 250 127 0 26 May 2021
Neural Transfer Learning for Repairing Security Vulnerabilities in C CodeIEEE Transactions on Software Engineering (TSE), 2021 Zimin Chen Steve Kommrusch Monperrus Martin 251 153 0 16 Apr 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesNeural Information Processing Systems (NeurIPS), 2021 Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 184 161 0 15 Feb 2021
Learning Structural Edits via Incremental Tree TransformationsInternational Conference on Learning Representations (ICLR), 2021 Ziyu Yao Frank F. Xu Pengcheng Yin Huan Sun Graham Neubig CLL 315 31 0 28 Jan 2021
Neural Software AnalysisCommunications of the ACM (CACM), 2020 Michael Pradel S. Chandra NAI 215 36 0 16 Nov 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2020 David Bieber Charles Sutton Hugo Larochelle Daniel Tarlow GNN 143 47 0 23 Oct 2020
A Systematic Literature Review on the Use of Deep Learning in Software Engineering ResearchACM Transactions on Software Engineering and Methodology (TOSEM), 2020 Cody Watson Nathan Cooper David Nader-Palacio Kevin Moran Denys Poshyvanyk 230 138 0 14 Sep 2020
Patching as Translation: the Data and the Metaphor Yangruibo Ding Baishakhi Ray Prem Devanbu Vincent Hellendoorn 337 74 0 24 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program TransformationsInformation and Software Technology (IST), 2020 Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 311 103 0 31 Jul 2020
A Structural Model for Contextual Code Changes Shaked Brody Uri Alon Eran Yahav KELM 228 7 0 27 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Abigail Z. Jacobs LRM 224 187 0 20 May 2020
Neural Networks for Modeling Source Code Edits Rui Zhao David Bieber Kevin Swersky Daniel Tarlow 159 12 0 04 Apr 2019
Neural Program Repair by Jointly Learning to Localize and Repair Marko Vasic Aditya Kanade Petros Maniatis David Bieber Rishabh Singh 140 137 0 03 Apr 2019
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code Rafael-Michael Karampatsis Charles Sutton 162 56 0 13 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 1.5K 10,099 0 03 Jan 2019
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair Zimin Chen Steve Kommrusch Michele Tufano L. Pouchet Denys Poshyvanyk Monperrus Martin KELM 331 491 0 24 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 2.9K 107,304 0 11 Oct 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks Daniel Beck Gholamreza Haffari Trevor Cohn GNN 141 339 0 26 Jun 2018
Generative Code Modeling with Graphs Marc Brockschmidt Miltiadis Allamanis Alexander L. Gaunt Oleksandr Polozov 201 189 0 22 May 2018
A Graph-to-Sequence Model for AMR-to-Text Generation Linfeng Song Yue Zhang Zhiguo Wang D. Gildea GNN AIMat 227 263 0 07 May 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 204 183 0 03 Apr 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 352 685 0 08 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 317 945 0 24 Feb 2018
Image Transformer Niki Parmar Ashish Vaswani Jakob Uszkoreit Lukasz Kaiser Noam M. Shazeer Alexander Ku Dustin Tran ViT 442 1,820 0 15 Feb 2018
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 263 860 0 01 Nov 2017
Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017 Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 2.6K 23,821 0 30 Oct 2017
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017 Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 2.8K 159,241 0 12 Jun 2017
Learning Python Code Suggestion with a Sparse Pointer Network Avishkar Bhoopchand Tim Rocktaschel Earl T. Barr Sebastian Riedel 129 89 0 24 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 1.3K 7,072 0 26 Sep 2016
A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis Hao Peng Charles Sutton AI4TS 256 607 0 09 Feb 2016
Gated Graph Sequence Neural Networks Yujia Li Daniel Tarlow Marc Brockschmidt R. Zemel GNN 1.1K 3,503 0 17 Nov 2015