University College London
Browse
SSBSE-2021-Challenge-Artifact.zip (34.8 MB)

Dataset for "Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e"

Download (34.8 MB)
dataset
posted on 2021-09-03, 16:17 authored by Giovani Guizzo, Aymeric Blot, James CallanJames Callan, Justyna PetkeJustyna Petke, Federica SarroFederica Sarro
This is a replication package for the paper "Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e", accepted at SSBSE 2021 (Challenge Track).

The compressed package is ~35MB and the uncompressed files are ~52MB.

For information about its contents, read README.md or README.pdf.

Funding

EPIC: Evolutionary Program Improvement Collaborators, ERC Grant 741278

History

Usage metrics

    Department of Computer Science

    Categories

    Keywords

    Search-Based Automated Program RepairEmpirical StudySoftware EngineeringSoftware Engineering

    Licence

    Apache 2.0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC