Exploiting Knowledge from Code to Guide Program Search

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Schweim:2022:EuroGP,

• author = "Dirk Schweim and Erik Hemberg and Dominik Sobania and Una-May O'Reilly",
• title = "Exploiting Knowledge from Code to Guide Program Search",
• booktitle = "EuroGP 2022: Proceedings of the 25th European Conference on Genetic Programming",
• year = "2022",
• editor = "Eric Medvet and Gisele Pappa and Bing Xue",
• series = "LNCS",
• volume = "13223",
• publisher = "Springer Verlag",
• address = "Madrid, Spain",
• pages = "262--277",
• month = "20-22 " # apr,
• organisation = "EvoStar, Species",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, Grammar Guided Genetic Programming, Program Synthesis, Program Search, Software Search, Mining Software Repositories: Poster",
• isbn13 = "978-3-031-02055-1",
• URL = "https://rdcu.be/dpy0Y",
• DOI = "doi:10.1007/978-3-031-02056-8_17",
• size = "16 pages",
• abstract = "Human code is different from code generated by program search. We investigate if properties from human-generated code can guide program search to improve the qualities of the generated programs, e.g., readability and performance. Here we focus on program search with grammatical evolution, which produces code that has different structure compared to human-generated code, e.g., loops and conditions are hardly used. We use a large code-corpus that was mined from the open software repository service GitHub and measure software metrics and properties describing the code-base. We use this knowledge to guide the search by incorporating a new selection scheme. Our new selection scheme favors programs that are structurally similar to the programs in the GitHub code-base. We find noticeable evidence that software metrics can help in guiding evolutionary search.",
• notes = "http://www.evostar.org/2022/eurogp/ Part of \cite{Medvet:2022:GP} EuroGP'2022 held inconjunction with EvoApplications2022 EvoCOP2022 EvoMusArt2022",

}

Genetic Programming entries for Dirk Schweim Erik Hemberg Dominik Sobania Una-May O'Reilly

Citations