Towards the Validation of Plagiarism Detection Tools by Means of Grammar Evolution
Created by W.Langdon from
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- @Article{Cebrian:2009:ieeeTEC,
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author = "Manuel Cebrian and Manuel Alfonseca and
Alfonso Ortega",
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title = "Towards the Validation of Plagiarism Detection Tools
by Means of Grammar Evolution",
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journal = "IEEE Transactions on Evolutionary Computation",
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year = "2009",
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month = jun,
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volume = "13",
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number = "3",
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pages = "477--485",
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keywords = "genetic algorithms, genetic programming, Grammar
Evolution, Automatic programming, Benchmark testing,
Data mining, Distance measurement, Evolution (biology),
Genetics, Plagiarism, Probability density function,
computer science education, educational technology",
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ISSN = "1089-778X",
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DOI = "doi:10.1109/TEVC.2008.2008797",
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size = "9 pages",
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abstract = "Student plagiarism is a major problem in universities
worldwide. In this paper, we focus on plagiarism in
answers to computer programming assignments, where
students mix and/or modify one or more original
solutions to obtain counterfeits. Although several
software tools have been developed to help the tedious
and time consuming task of detecting plagiarism, little
has been done to assess their quality, because
determining the real authorship of the whole submission
corpus is practically impossible for markers. In this
paper, we present a Grammar Evolution technique which
generates benchmarks for testing plagiarism detection
tools. Given a programming language, our technique
generates a set of original solutions to an assignment,
together with a set of plagiarisms of the former set
which mimic the basic plagiarism techniques performed
by students. The authorship of the submission corpus is
predefined by the user, providing a base for the
assessment and further comparison of copy-catching
tools. We give empirical evidence of the suitability of
our approach by studying the behavior of one advanced
plagiarism detection tool (AC) on four benchmarks coded
in APL2, generated with our technique.",
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notes = "also known as \cite{4781609} Not GP",
- }
Genetic Programming entries for
Manuel Cebrian
Manuel Alfonseca
Alfonso Ortega de la Puente
Citations