<![CDATA[Dataset for "Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e"]]>

2026-07-05T18:47:13Z https://api.figshare.com/v2/oai

oai:figshare.com:article/15045198 2021-09-03T16:17:43Z category_29203 portal_549 item_type_3 month_year_09_2021

10.5522/04/15045198.v1 https://figshare.com/articles/dataset/Dataset_for_Refining_Fitness_Functions_for_Search-Based_Automated_Program_Repair_A_Case_Study_with_ARJA_and_ARJA-e_/15045198 https://ndownloader.figshare.com/files/28985958 10.1007/978-3-030-88106-1_12 Guizzo, Giovani Giovani Guizzo Blot, Aymeric Aymeric Blot Callan, James James Callan Petke, Justyna Justyna Petke Sarro, Federica Federica Sarro <![CDATA[Dataset for "Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e"]]> Software engineering not elsewhere classified Search-Based Automated Program Repair Empirical Study Software Engineering Software Engineering 2021-09-03 2023-05-31 Dataset 2021 University College London

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

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

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