Towards the Validation of Plagiarism Detection Tools by Means of Grammar Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Cebrian:2009:ieeeTEC,

• author = "Manuel Cebrian and Manuel Alfonseca and Alfonso Ortega",
• title = "Towards the Validation of Plagiarism Detection Tools by Means of Grammar Evolution",
• journal = "IEEE Transactions on Evolutionary Computation",
• year = "2009",
• month = jun,
• volume = "13",
• number = "3",
• pages = "477--485",
• 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",
• ISSN = "1089-778X",
• DOI = "doi:10.1109/TEVC.2008.2008797",
• size = "9 pages",
• 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.",
• notes = "also known as \cite{4781609} Not GP",

}

Genetic Programming entries for Manuel Cebrian Manuel Alfonseca Alfonso Ortega de la Puente

Citations