Multi Objective Higher Order Mutation Testing with GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{langdon:2009:gecco2,
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author = "W. B. Langdon and Mark Harman and Yue Jia",
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title = "Multi Objective Higher Order Mutation Testing with
GP",
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booktitle = "GECCO '09: Proceedings of the 11th Annual conference
on Genetic and evolutionary computation",
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year = "2009",
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editor = "Guenther Raidl and Franz Rothlauf and
Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and
Mauro Birattari and Clare Bates Congdon and
Martin Middendorf and Christian Blum and Carlos Cotta and
Peter Bosman and Joern Grahl and Joshua Knowles and
David Corne and Hans-Georg Beyer and Ken Stanley and
Julian F. Miller and Jano {van Hemert} and
Tom Lenaerts and Marc Ebner and Jaume Bacardit and
Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and
Thomas Jansen and Riccardo Poli and Enrique Alba",
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pages = "1945",
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address = "Montreal",
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month = "8-12 " # jul,
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organisation = "SIGEVO",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, Poster,
strongly typed genetic programming, grammar, Pareto
optimality, mutation testing, higher order mutation,
Indirect encoding, Software engineering, triangle,
schedule, tcas",
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isbn13 = "978-1-60558-325-9",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2009_gecco2.pdf",
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DOI = "doi:10.1145/1569901.1570251",
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size = "1 page",
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abstract = "Mutation testing is a powerful software engineering
technique for fault finding. It works by injecting
known faults (mutations) into software and seeing if
the test suite finds them. It remains very expensive
and the few valuable traditional mutants that resemble
real faults are mixed in with many others that denote
unrealistic faults. The expense and lack of realism
inhibit industrial uptake of mutation testing. Genetic
programming searches the space of complex faults to
find realistic higher order mutants. Despite the much
larger search space, we have found mutants composed of
multiple changes to the C source code that challenge
the tester and which cannot be represented in the first
order space.",
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notes = "GECCO-2009 A joint meeting of the eighteenth
international conference on genetic algorithms
(ICGA-2009) and the fourteenth annual genetic
programming conference (GP-2009).
t14pp387, replaced by \cite{langdon:2009:TAICPART} (10
pages)
ACM Order Number 910092. Also known as
\cite{DBLP:conf/gecco/LangdonHJ09}",
- }
Genetic Programming entries for
William B Langdon
Mark Harman
Yue Jia
Citations