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

Dataset

DOI

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.

Identifier
DOI	https://doi.org/10.5522/04/15045198.v1
Related Identifier	https://ndownloader.figshare.com/files/28985958
Metadata Access	https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/15045198

Provenance
Creator	Guizzo, Giovani; Blot, Aymeric; Callan, James; Petke, Justyna; Sarro, Federica
Publisher	University College London UCL
Contributor	Figshare
Publication Year	2021
Rights	https://www.apache.org/licenses/LICENSE-2.0.html
OpenAccess	true
Contact	researchdatarepository(at)ucl.ac.uk

Representation
Language	English
Resource Type	Dataset
Discipline	Construction Engineering and Architecture; Engineering; Engineering Sciences