Automated Software Performance Improvement with Magpie

Created by W.Langdon from gp-bibliography.bib Revision:1.8237

@InProceedings{Blot_magpie:2025:GI,

• author = "Aymeric Blot",
• title = "Automated Software Performance Improvement with {Magpie}",
• booktitle = "14th International Workshop on Genetic Improvement @ICSE 2025",
• year = "2025",
• editor = "Aymeric Blot and Vesna Nowack and Penn Faulkner Rainford and Oliver Krauss",
• pages = "vi",
• address = "Ottawa",
• month = "27 " # apr,
• publisher = "IEEE",
• note = "Invited tutorial",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement",
• URL = "http://gpbib.cs.ucl.ac.uk/gi2025/blot_2025_GI.pdf",
• code_url = "https://github.com/bloa/magpie",
• size = "1 page",
• abstract = "In this tutorial, I will present Magpie (https://github.com/bloa/magpie), a powerful tool for both Genetic Improvement researchers and practitioners. Magpie stands at the forefront of software evolution, providing a streamlined approach to model, evolve, and automatically improve software systems. Addressing both functional and non-functional concerns, Magpie offers a user-friendly no-code interface that seamlessly integrates various search processes, as well as enabling easy Python code injection for advanced users to further tailor and specialise the improvement process to meet their specific needs. We will provide a concise overview of Magpie internals before exploring diverse real-world scenarios.",
• notes = "GI @ ICSE 2025, part of \cite{blot:2025:GI} see also \cite{Blot:2024:GI}",

}

Genetic Programming entries for Aymeric Blot

Citations