RunBugRun -- An Executable Dataset for Automated Program Repair

3 April 2023

Papers citing "RunBugRun -- An Executable Dataset for Automated Program Repair"

7 / 7 papers shown

Title
Synthetic Code Surgery: Repairing Bugs and Vulnerabilities with LLMs and Synthetic Data David de-Fitero-Dominguez Antonio Garcia-Cabot Eva García-López SyDa 61 0 0 12 May 2025
ThrowBench: Benchmarking LLMs by Predicting Runtime Exceptions Julian Aron Prenner Romain Robbes 59 0 0 06 Mar 2025
MdEval: Massively Multilingual Code Debugging Shukai Liu Linzheng Chai Jian Yang Jiajun Shi He Zhu ... Yu Hao Liqun Yang Guanglin Niu Ge Zhang Z. Li LRM ELM 70 6 0 04 Nov 2024
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese S. Hoi SyDa ALM 126 237 0 05 Jul 2022
Can we learn from developer mistakes? Learning to localize and repair real bugs from real bug fixes Cedric Richter Heike Wehrheim 19 8 0 01 Jul 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 0 02 Sep 2021
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair Nan Jiang Thibaud Lutellier Lin Tan NAI 145 233 0 26 Feb 2021