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",
• title = "The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking",
• booktitle = "FSE, Ideas, Visions and Reflections",
• year = "2024",
• address = "Porto de Galinhas, Brazil",
• month = "15-19 " # jul,
• 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