Big Data Driven Genetic Improvement for Maintenance of Legacy Software Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.7917

@Article{langdon:2019:bddGI4mlss,

• author = "W. B. Langdon",
• title = "Big Data Driven Genetic Improvement for Maintenance of Legacy Software Systems",
• journal = "SIGEVOlution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation",
• year = "2019",
• volume = "12",
• number = "3",
• pages = "6--9",
• ISSN = "1931-8499",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement",
• URL = "https://evolution.sigevo.org/issues/SIGEVOlution1203.pdf",
• URL = "https://dl.acm.org/doi/pdf/10.1145/3381343.3381345",
• DOI = "doi:10.1145/3381343.3381345",
• size = "4 pages",
• abstract = "Software is vital to modern life, yet much of it is old and suffers from bit-rot. There are not and never will be enough software experts to keep it all up to date by hand. Instead research is looking at combining data driven learning with modern search to maintain old computer systems.",

}

Genetic Programming entries for William B Langdon

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