Community-driven effort to facilitate discovery, access and systematization of data related to automated program repair research
Uniform Edit Selection for Genetic Improvement: Empirical Analysis of Mutation Operator EfficacyMarta Smigielska, Aymeric Blot, Justyna PetkeGI@ICSE 2021
Partial Specifications for Program RepairLinsey Kitt, Myra B. CohenGI@ICSE 2021
CRNRepair: Automated Program Repair of Chemical Reaction NetworksIbrahim Mesecan, Michael C. Gerten, James I. Lathrop, Myra B. Cohen, Tomas Haddad CaldasGI@ICSE 2021
Applying Automated Program Repair to Dataflow Programming LanguagesYu Huang, Hammad Ahmad, Stephanie Forrest, Westley WeimerGI@ICSE 2021
Human Factors in the Study of Automatic Software Repair: Future Directions for Research with IndustryEmily Winter, David Bowes, Steve Counsell, Tracy Hall, Saemundur O. Haraldsson, Vesna Nowack, John R. WoodwardICSE (Workshops) 2020
PyGGI 2.0: language independent genetic improvement frameworkGabin An, Aymeric Blot, Justyna Petke, Shin YooFSE 2019
ARJA — multi-objective genetic programming for automated repair of Java
InFix — automatically fixing error-inducing command-line inputs for novice Python programs
Refactory — tool for generating real-time program repairs of buggy student programs
BugsJS — a benchmark of 453 real, manually validated JavaScript bugs from 10 popular JavaScript server-side programs
Defexts — a curated dataset of reproducible real-world bugs for modern JVM languages (Kotlin, Groovy, Scala)
BugsInPy — a database of existing bugs in Python programs to enable controlled testing and debugging studies
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