Dataset for "Refining Fitness Functions for Search-Based Automated Program Repair: A Case Study with ARJA and ARJA-e"
收藏rdr.ucl.ac.uk2023-05-31 更新2025-01-21 收录
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https://rdr.ucl.ac.uk/articles/dataset/Dataset_for_Refining_Fitness_Functions_for_Search-Based_Automated_Program_Repair_A_Case_Study_with_ARJA_and_ARJA-e_/15045198/1
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资源简介：
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.
本包为SSBSE 2021（挑战赛道）上获准发表的论文《基于搜索的自动程序修复中优化适应度函数：以ARJA及ARJA-e为例》的复现包。该压缩包大小约为35MB，解压后文件大小约为52MB。有关包内内容信息，请参阅README.md或README.pdf文档。
提供机构：
University College London
