Neural Program Repair by Jointly Learning to Localize and Repair

3 April 2019

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

26 / 26 papers shown

Title
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 47 21 0 30 Dec 2023
Transfer Attacks and Defenses for Large Language Models on Coding Tasks Chi Zhang Zifan Wang Ravi Mangal Matt Fredrikson Limin Jia Corina S. Pasareanu AAML SILM 34 1 0 22 Nov 2023
Neuro-Symbolic Execution of Generic Source Code Yaojie Hu Jin Tian NAI 35 0 0 23 Mar 2023
JEMMA: An Extensible Java Dataset for ML4Code Applications Anjan Karmakar Miltiadis Allamanis Romain Robbes VLM 29 3 0 18 Dec 2022
Infrared: A Meta Bug Detector Chi Zhang Yu Wang Linzhang Wang 31 1 0 18 Sep 2022
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 16 13 0 24 Jul 2022
What does Transformer learn about source code? Kechi Zhang Ge Li Zhi Jin ViT 30 8 0 18 Jul 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code Changan Niu Chuanyi Li Bin Luo Vincent Ng SyDa VLM 55 48 0 24 May 2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations Xiaoyu Liu Jinu Jang Neel Sundaresan Miltiadis Allamanis Alexey Svyatkovskiy 21 2 0 23 May 2022
On Distribution Shift in Learning-based Bug Detectors Jingxuan He Luca Beurer-Kellner Martin Vechev 24 18 0 21 Apr 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber Rishab Goel Daniel Zheng Hugo Larochelle Daniel Tarlow 28 15 0 07 Mar 2022
Neural Program Repair: Systems, Challenges and Solutions Wenkang Zhong Chuanyi Li Jidong Ge B. Luo 27 13 0 22 Feb 2022
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 25 61 0 18 Oct 2021
Jointly Learning to Repair Code and Generate Commit Message Jiaqi Bai Long Zhou Ambrosio Blanco Shujie Liu Furu Wei Ming Zhou Zhoujun Li 19 4 0 25 Sep 2021
DeepMutants: Training neural bug detectors with contextual mutations Cedric Richter Heike Wehrheim 24 3 0 14 Jul 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 59 0 07 Jun 2021
Self-Supervised Bug Detection and Repair Miltiadis Allamanis Henry Jackson-Flux Marc Brockschmidt 26 103 0 26 May 2021
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 106 1,386 0 14 Dec 2020
MACER: A Modular Framework for Accelerated Compilation Error Repair Darshak Chhatbar Umair Z. Ahmed Purushottam Kar 21 13 0 28 May 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
Learning Semantic Program Embeddings with Graph Interval Neural Network Yu Wang Fengjuan Gao Linzhang Wang Ke Wang GNN 19 63 0 18 May 2020
Typilus: Neural Type Hints Miltiadis Allamanis Earl T. Barr Soline Ducousso Zheng Gao 35 131 0 06 Apr 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 45 217 0 30 Mar 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 47 97 0 07 Feb 2020
sk_p: a neural program corrector for MOOCs Yewen Pu Karthik Narasimhan Armando Solar-Lezama Regina Barzilay 37 120 0 11 Jul 2016