Community-driven effort to facilitate discovery, access and systematization of data related to automated program repair research
AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis ViolationsKui Liu, Anil Koyuncu, Dongsun Kim, Tegawendé F. BissyandéSANER 2019: 456-467
BEARS: An Extensible Java Bug Benchmark for Automatic Program Repair StudiesFernanda Madeiral Delfim, Simon Urli, Marcelo de Almeida Maia, Martin MonperrusSANER 2019: 468-478
Sorting and Transforming Program Repair Ingredients via Deep Learning Code SimilaritiesMartin White, Michele Tufano, Matias Martinez, Martin Monperrus, Denys PoshyvanykSANER 2019: 479-490
Alleviating patch overfitting with automatic test generation: a study of feasibility and effectiveness for the Nopol repair systemZhongxing Yu, Matias Martinez, Benjamin Danglot, Thomas Durieux, Martin MonperrusEmpirical Software Engineering 24(1): 33-67 (2019)
Common statement kind changes to inform automatic program repairMauricio Soto, Claire Le GouesMSR 2018: 102-105
Bugs.jar: a large-scale, diverse dataset of real-world Java bugsRipon K. Saha, Yingjun Lyu, Wing Lam, Hiroaki Yoshida, Mukul R. PrasadMSR 2018: 10-13
AVATAR — fixing Java bugs by the fix patterns of static analysis violations (FindBugs violations)
LSRepair — fixing Java bugs by leveraging live search of fix ingredients of similar code at method level
Repairnator — software development bot that automatically repairs build failures on Travis Continuous Integration
DroixBench — a collection of 24 reproducible crashes in open-source Android apps
Bears — an extensible Java bug benchmark for automatic program repair studies
Bugs.jar — a large-scale, diverse dataset of bugs for Java program repair
Defects4J Dissection — presents data to help researchers and practitioners to better understand the Defects4J bug dataset