Community-driven effort to facilitate discovery, access and systematization of data related to automated program repair research
Automatic Software Repair: A BibliographyMartin MonperrusACM Comput. Surv. 51(1): 17:1-17:24 (2018)
Mining stackoverflow for program repairXuliang Liu, Hao ZhongSANER 2018: 118-129
Automatically repairing dependency-related build breakageChristian Macho, Shane McIntosh, Martin PinzgerSANER 2018: 106-117
Using a probabilistic model to predict bug fixesMauricio Soto, Claire Le GouesSANER 2018: 221-231
Dissection of a bug dataset: Anatomy of 395 patches from Defects4JVictor Sobreira, Thomas Durieux, Fernanda Madeiral Delfim, Martin Monperrus, Marcelo de Almeida MaiaSANER 2018: 130-140
Common Bug-Fix Patterns: A Large-Scale Observational StudyEduardo Cunha Campos, Marcelo de Almeida MaiaESEM 2017: 404-413
QuixBugs: a multi-lingual program repair benchmark set based on the quixey challengeDerrick Lin, James Koppel, Angela Chen, Armando Solar-LezamaSPLASH (Companion Volume) 2017: 55-56
DeepFix — tool for fixing common programming errors based on deep learning
JAID — an APR technique that uses detailed state abstractions to guide both fault localization and fix generation
JFix — semantics-based repair framework for Java programs
Codeflaws — 3902 bugs from Codeforces programming competition for evaluating program repair tools across different defect classes
DBGBench — 291 (in)correct patches from real software professionals for 27 real bugs in C for the qualitative evaluation of automated repair techniques
QuixBugs — A parallel corpus of 40 programs in both Python and Java, each with a bug on one line
Defects4J Dissection — presents data to help researchers and practitioners to better understand the Defects4J bug dataset