The case for Grammatical Evolution in test generation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Murphy:2022:GI,
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author = "Aidan Murphy and Thomas Laurent and
Anthony Ventresque",
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title = "The case for Grammatical Evolution in test
generation",
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booktitle = "GI @ GECCO 2022",
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year = "2022",
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editor = "Bobby R. Bruce and Vesna Nowack and Aymeric Blot and
Emily Winter and W. B. Langdon and Justyna Petke",
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pages = "1946--1947",
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address = "Boston, USA",
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publisher_address = "New York, NY, USA",
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month = "9 " # jul,
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organisation = "SIGEVO",
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publisher = "Association for Computing Machinery",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, Grammatical Evolution, SBSE, Software
testing and debugging, Automatic Test Generation,
Search Based Software Testing, SBST, Java, Closure-14",
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isbn13 = "978-1-4503-9268-6/22/07",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/gi2022/papers/Murphy_2022_GI.pdf",
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DOI = "doi:10.1145/3520304.3534042",
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slides_url = "http://geneticimprovementofsoftware.com/slides/gi2022gecco/murphy-case-for-grammatical-evolution-gi-gecco-22.pdf",
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video_url = "https://www.youtube.com/watch?v=D_bBCT468WA&list=PLI8fiFpB7BoIHgl5CsdtjfWvHlE5N6pje&index=7",
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size = "2 pages",
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abstract = "Generating tests for software is an important, but
difficult, task. Search-based test generation is
promising, as it reduces the time required from human
experts, but suffers from many problems and
limitations. Namely, the inability to fully incorporate
a testers domain knowledge into the search, its
difficulty in creating very complex objects, and the
problems associated with variable length tests. This
paper illustrates how Grammatical Evolution could
address and provide a possible solution to each of
these concerns.",
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notes = "cites \cite{Anjum:2021:SNCS}
\cite{Deiner:2020:SSBSE}
Lero
http://geneticimprovementofsoftware.com/events/gecco2022
GECCO-2022 A Recombination of the 31st International
Conference on Genetic Algorithms (ICGA) and the 27th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Aidan Murphy
Thomas Laurent
Anthony Ventresque
Citations