SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

24 December 2018

Papers citing "SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair"

34 / 134 papers shown

Title
A Syntax-Guided Edit Decoder for Neural Program Repair Qihao Zhu Zeyu Sun Yuan-an Xiao Wenjie Zhang Kang Yuan Y. Xiong Lu Zhang KELM 29 216 0 15 Jun 2021
Break-It-Fix-It: Unsupervised Learning for Program Repair Michihiro Yasunaga Percy Liang 26 107 0 11 Jun 2021
Proving Equivalence Between Complex Expressions Using Graph-to-Sequence Neural Models Steven J Kommrusch Théo Barollet L. Pouchet 19 5 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 32 228 0 25 May 2021
DeepDebug: Fixing Python Bugs Using Stack Traces, Backtranslation, and Code Skeletons Dawn Drain Colin B. Clement Guillermo Serrato Neel Sundaresan 25 31 0 19 May 2021
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics Toufique Ahmed Noah Rose Ledesma Prem Devanbu 59 19 0 29 Apr 2021
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code Zimin Chen Steve Kommrusch Monperrus Martin 18 115 0 16 Apr 2021
Generating Bug-Fixes Using Pretrained Transformers Dawn Drain Chen Henry Wu Alexey Svyatkovskiy Neel Sundaresan 31 50 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 21 4 0 15 Mar 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 41 754 0 10 Mar 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 52 138 0 15 Feb 2021
WheaCha: A Method for Explaining the Predictions of Models of Code Yu Wang Ke Wang Linzhang Wang FAtt 21 3 0 09 Feb 2021
Learning Structural Edits via Incremental Tree Transformations Ziyu Yao Frank F. Xu Pengcheng Yin Huan Sun Graham Neubig CLL 157 27 0 28 Jan 2021
A Neural Question Answering System for Basic Questions about Subroutines Aakash Bansal Zachary Eberhart Lingfei Wu Collin McMillan 20 11 0 11 Jan 2021
Neural Software Analysis Michael Pradel S. Chandra NAI 39 33 0 16 Nov 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning Jianlei Chi YunHuan Qu Ting Liu Q. Zheng Heng Yin 50 51 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 11 22 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 14 176 0 11 Sep 2020
Patching as Translation: the Data and the Metaphor Yangruibo Ding Baishakhi Ray Prem Devanbu Vincent Hellendoorn 141 65 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 31 97 0 22 Jun 2020
Copy that! Editing Sequences by Copying Spans Sheena Panthaplackel Miltiadis Allamanis Marc Brockschmidt BDL 21 28 0 08 Jun 2020
Unsupervised Translation of Programming Languages Marie-Anne Lachaux Baptiste Roziere L. Chanussot Guillaume Lample 45 409 0 05 Jun 2020
A Structural Model for Contextual Code Changes Shaked Brody Uri Alon Eran Yahav KELM 27 7 0 27 May 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Percy Liang LRM 37 172 0 20 May 2020
SCELMo: Source Code Embeddings from Language Models Rafael-Michael Karampatsis Charles Sutton 35 52 0 28 Apr 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model Steve Kommrusch Théo Barollet L. Pouchet 30 6 0 17 Feb 2020
Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges T. H. Le Hao Chen Muhammad Ali Babar VLM 64 152 0 13 Feb 2020
Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities Zimin Chen Steve Kommrusch Monperrus Martin 19 5 0 04 Dec 2019
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 26 62 0 04 Nov 2019
Learning the Relation between Code Features and Code Transforms with Structured Prediction Zhongxing Yu Matias Martinez Zimin Chen Tegawende F. Bissyande Monperrus Martin 20 10 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 13 18 0 20 Jun 2019
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 227 1,211 0 12 Jun 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 273 1,896 0 10 Jan 2017
sk_p: a neural program corrector for MOOCs Yewen Pu Karthik Narasimhan Armando Solar-Lezama Regina Barzilay 45 120 0 11 Jul 2016