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Plagiarism detection: A tool survey and comparison

Martins, Vítor T.; Fonte, Daniela; Henriques, Pedro Rangel; Cruz, Daniela da

We illustrate the state of the art in software plagiarism detection tools by comparing their features and testing them against a wide range of source codes. The source codes were edited according to several types of plagiarism to show the tools accuracy at detecting each type. The decision to focus our research on plagiarism of programming languages is two fold: on one hand, it is a challenging case-study since...


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