New Operators for Non-functional Genetic Improvement

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

@InProceedings{Petke:2017:GI,

• author = "Justyna Petke",
• title = "New Operators for Non-functional Genetic Improvement",
• booktitle = "GI-2017",
• year = "2017",
• editor = "Justyna Petke and David R. White and W. B. Langdon and Westley Weimer",
• pages = "1541--1542",
• address = "Berlin",
• month = "15-19 " # jul,
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, genetic improvement, GI, search operators, mutation operators, software mutational robustness, NFR",
• isbn13 = "978-1-4503-4939-0",
• URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2017/05/petke2017_operators.pdf",
• DOI = "doi:10.1145/3067695.3082520",
• size = "2 pages",
• abstract = "Genetic improvement uses automated search to find improved versions of existing software. Typically software is modified using either delete, copy or replace operations at the level of source code, its abstract syntax tree, binary or assembly representation. Impressive improvements have been achieved through this approach, yet research in the use of other search operators is largely unexplored. We propose several ways for devising new search operators for improvement of non-functional properties using a genetic improvement approach.",
• notes = "new mutation operators derived from mining software updates eg pull requests in from github, angelic execution, n-version programming, equivalent mutations",

}

Genetic Programming entries for Justyna Petke

Citations