Community-driven effort to facilitate discovery, access and systematization of data related to automated program repair research
How to Explain a Patch: An Empirical Study of Patch Explanations in Open Source ProjectsJingjing Liang, Yaozong Hou, Shurui Zhou, Junjie Chen, Yingfei Xiong, Gang HuangISSRE 2019
Automating CUDA Synchronization via Program TransformationMingyuan Wu, Lingming Zhang, Cong Liu, Shin Hwei Tan, Yuqun ZhangASE 2019
PraPR: Practical Program Repair via Bytecode MutationAli Ghanbari, Lingming ZhangASE 2019
InFix: Automatically Repairing Novice Program InputsMadeline Endres, Georgios Sakkas, Benjamin Cosman, Ranjit Jhala, Westley WeimerASE 2019
Re-Factoring Based Program Repair Applied to Programming AssignmentsYang Hu, Umair Z. Ahmed, Sergey Mechtaev, Ben Leong, Abhik RoychoudhuryASE 2019
Inferring Program Transformations From Singular Examples via Big CodeJiajun Jiang, Luyao Ren, Yingfei Xiong, Lingming ZhangASE 2019
GenPat — inferring program transformation from historical bug fixes via big code
kGenProg — automated program repair tool written in Java for Java
PraPR — fast JVM bytecode-level, template-/mutation-based APR
DroixBench — a collection of 24 reproducible crashes in open-source Android apps
Bears — an extensible Java bug benchmark for automatic program repair studies
BugSwarm — a dataset of thousands of real software bugs and their fixes
Defects4J Dissection — presents data to help researchers and practitioners to better understand the Defects4J bug dataset
RepairThemAll experiment — presents experimental data obtained using RepairThemAll framework