Exploring the Use of Natural Language Processing Techniques for Enhancing Genetic Improvement

Created by W.Langdon from gp-bibliography.bib Revision:1.7892

@InProceedings{Krauss:2023:GI,

• author = "Oliver Krauss",
• title = "Exploring the Use of Natural Language Processing Techniques for Enhancing Genetic Improvement",
• booktitle = "12th International Workshop on Genetic Improvement @ICSE 2023",
• year = "2023",
• editor = "Vesna Nowack and Markus Wagner and Gabin An and Aymeric Blot and Justyna Petke",
• pages = "21--22",
• address = "Melbourne, Australia",
• month = "20 " # may,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement, artificial intelligence, AI, natural language processing, NLP, ChatGPT, Flan-T5-xl, CodeT5, Codex, GPT-3, XAI, auto-comment, documentation, javadoc, non-functional properties",
• isbn13 = "979-8-3503-1232-4",
• URL = "http://gpbib.cs.ucl.ac.uk/gi2023/Krauss_2023_GI.pdf",
• DOI = "doi:10.1109/GI59320.2023.00014",
• slides_url = "http://gpbib.cs.ucl.ac.uk/gi2023/Krauss_GI2023.pdf",
• video_url = "http://gpbib.cs.ucl.ac.uk/gi2023/Krauss-GI2023.mp4",
• video_url = "http://gpbib.cs.ucl.ac.uk/gi2023/Krauss-GI2023.mkv",
• video_url = "https://www.youtube.com/watch?v=8QZHtAd_n1s&list=PLI8fiFpB7BoJLh6cUpGBjyeB1hM9DET1V&index=7",
• size = "2 pages",
• abstract = "We explore the potential of using large-scale Natural Language Processing (NLP) models, such as GPT-3, for enhancing genetic improvement in software development These models have previously been used to automatically find bugs, or improve software. We propose using these models as a novel mutator, as well as for explaining the patches generated by genetic improvement algorithms. Our initial findings indicate promising results, but further research is needed to determine the scalability and applicability of this approach across different programming languages.",
• notes = "GI @ ICSE 2023, part of \cite{Nowack:2023:GI}",

}

Genetic Programming entries for Oliver Krauss

Citations