- author = "William B. Langdon and Gabin An and Aymeric Blot and Vesna Nowack and Justyna Petke and Shin Yoo and Oliver Krauss and Erik M. Fredericks and Daniel Blackwell",
- title = "The 13th International Workshop on Genetic Improvement {(GI @ ICSE 2024)}",
- journal = "SIGSOFT Software Engineering Notes",
- year = "2024",
- volume = "49",
- number = "3",
- month = jul,
- pages = "42--50",
- keywords = "genetic algorithms, genetic programming, genetic improvement, AI, copilot, ANN, LLM, automatic testing",
- publisher = "Association for Computing Machinery",
- ISSN = "0163-5948",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gi2024_sen.pdf",
-
DOI = "
doi:10.1145/3672089.3672102",
-
video_url = "
https://www.youtube.com/watch?v=hFbopnZoMR8&list=PLI8fiFpB7BoIRqJuY80XwmH-DFT_71y2S&index=8",
- size = "9 pages",
- abstract = "The GI @ ICSE 2024 workshop, held 16 April, in addition to presentations, contained a keynote on how to use Genetic Improvement to control deep AI large language models in software engineering and a tutorial on a language independent tool for GI research. We summarise these, the papers, people, prizes, acknowledgements, discussions and hopes for the future.",
-
notes = "GI @ ICSE 2024 ACM SIGSOFT Software Engineering Notes
https://dl.acm.org/newsletter/sigsoft/
See also \cite{an:2024:GI}",
