Plagiarism Detection: A Tool Survey and Comparison

Vítor T. Martins · Daniela Fonte · Pedro Rangel Henriques · Daniela da Cruz

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Academic integrity and plagiarism Teaching and Learning Programming Software Engineering Research

Abstract

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 programming languages impose a structured writing style; on the other hand, we are looking for the integration of such a tool in an Automatic-Grading System (AGS) developed to support teachers in the context of Programming courses. Besides the systematic characterisation of the underlying problem domain, the tools were surveyed with the objective of identifying the most successful approach in order to design the aimed plugin for our AGS.

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1999Plagiarism in programming assignments 1996YAP3 2008Towards a Definition of Source-Code Plagiarism 2006Plaggie 2010A comparison of plagiarism detection tools

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2017Plagiarism in Take-home Exams 2018Unmasking text plagiarism using syntactic-semantic based natural language processing techniques: Comparisons, analysis and challenges 2016Review of source-code plagiarism detection in academia 2020Plagiarism Detection in Computer Programming Using Feature Extraction From Ultra-Fine-Grained Repositories 2019A Comparison of Three Popular Source code Similarity Tools for Detecting Student Plagiarism 2016Academic Integrity in Non-Text Based Disciplines 2016Evaluating plagiarism detection software for introductory programming assignments

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