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"

dataset

posted on 2021-09-03, 16:17 authored by Giovani GuizzoGiovani 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

Read the peer-reviewed publication

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

Department of Computer Science

Keywords

Search-Based Automated Program Repair Empirical Study Software Engineering

Licence

Apache 2.0