Multi Objective Mutation Testing with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{langdon:2009:TAICPART,
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author = "William B. Langdon and Mark Harman and Yue Jia",
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title = "Multi Objective Mutation Testing with Genetic
Programming",
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booktitle = "TAIC-PART",
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year = "2009",
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editor = "Leonardo Bottaci and Gregory Kapfhammer and
Neil Walkinshaw",
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pages = "21--29",
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address = "Windsor, UK",
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month = "4-6 " # sep,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, strongly
typed genetic programming, grammar, Pareto optimality,
mutation testing, higher order mutation, Indirect
encoding, Software engineering, SBSE, triangle,
schedule, tcas",
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isbn13 = "978-0-7695-3820-4",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2009_TAICPART.pdf",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2009_TAICPART.ps.gz",
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DOI = "doi:10.1109/TAICPART.2009.18",
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size = "10 pages",
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abstract = "In academic empirical studies, mutation testing has
been demonstrated to be a powerful technique for fault
finding. However, it remains very expensive and the few
valuable traditional mutants that resemble real faults
are mixed in with many others that denote unrealistic
faults. These twin problems of expense and realism have
been a significant barrier to industrial uptake of
mutation testing. Genetic programming is used to search
the space of complex faults (higher order mutants). The
space is much larger than the traditional first order
mutation space of simple faults. However, the use of a
search based approach makes this scalable, seeking only
those mutants that challenge the tester, while the
consideration of complex faults addresses the problem
of fault realism; it is known that 90percent of real
faults are complex (i.e. higher order). We show that we
are able to find examples that pose challenges to
testing in the higher order space that cannot be
represented in the first order space.",
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notes = "replaces \cite{langdon:2009:gecco2}",
- }
Genetic Programming entries for
William B Langdon
Mark Harman
Yue Jia
Citations