The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking
Created by W.Langdon from
gp-bibliography.bib Revision:1.7778
- @InProceedings{Petke:2024:FSEIVR,
-
author = "Justyna Petke and Matias Martinez and
Maria Kechagia and Aldeida Aleti and Federica Sarro",
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title = "The Patch Overfitting Problem in Automated Program
Repair: Practical Magnitude and a Baseline for
Realistic Benchmarking",
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booktitle = "FSE, Ideas, Visions and Reflections",
-
year = "2024",
-
address = "Porto de Galinhas, Brazil",
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month = "15-19 " # jul,
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keywords = "genetic algorithms, genetic programming, genetic
improvement, APR, Overfitting, Automated Program
Repair, Patch Assessment",
-
URL = "https://2024.esec-fse.org/profile/matiasmartinez2#",
-
URL = "http://www.cs.ucl.ac.uk/staff/J.Petke/papers/Petke_2024_FSEIVR.pdf",
- }
Genetic Programming entries for
Justyna Petke
Matias Sebastian Martinez
Maria Kechagia
Aldeida Aleti
Federica Sarro
Citations