Community-driven effort to facilitate discovery, access and systematization of data related to automated program repair research
Neural Program Repair by Jointly Learning to Localize and RepairMarko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh SinghICLR (Poster) 2019
An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine TranslationMichele Tufano, Cody Watson, Gabriele Bavota, Massimiliano Di Penta, Martin White, Denys PoshyvanykACM Trans. Softw. Eng. Methodol. 28 (4) 2019
Efficient automated repair of high floating-point errors in numerical librariesXin Yi, Liqian Chen, Xiaoguang Mao, Tao JiPACMPL 3 (POPL) 2019
Automatic repair of regular expressionsRong Pan, Qinheping Hu, Gaowei Xu, Loris D'AntoniPACMPL 3 (OOPSLA) 2019
Getafix: learning to fix bugs automaticallyJohannes Bader, Andrew C. Scott, Michael Pradel, Satish ChandraPACMPL 3 (OOPSLA) 2019
iFixFlakies: a framework for automatically fixing order-dependent flaky testsAugust Shi, Wing Lam, Reed Oei, Tao Xie, Darko MarinovESEC/SIGSOFT FSE 2019
AVATAR — fixing Java bugs by the fix patterns of static analysis violations (FindBugs violations)
kGenProg — automated program repair tool written in Java for Java
kPAR — Java implementation of PAR: fixing Java bugs with pre-defined fix patterns
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