Experience using "MOSS" to detect cheating on programming assignments

Kevin W. Bowyer

82 citations0/0 files storedIEEE Frontiers in Education Conference (FIE)

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Academic integrity and plagiarism Teaching and Learning Programming Software Engineering Research

Abstract

Program assignments are traditionally an area of serious concern in maintaining the integrity of the educational process. Systematic inspection of all solutions for possible plagiarism has generally required unrealistic amounts of time and effort. The "Measure Of Software Similarity" tool developed by Alex Aiken at UC Berkeley makes it possible to objectively and automatically check all solutions for evidence of plagiarism. The authors have used MOSS in several large sections of a C programming course (MOSS can also handle a variety of other languages). They feel that MOSS is a major innovation for faculty who teach programming and recommend that it be used routinely to screen for plagiarism.

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2017Plagiarism in Take-home Exams 2016Personalized Assessment as a Means to Mitigate Plagiarism 2005Classifications of plagiarism detection engines 2019Repetitive disclosures in the MD&A 2009Source code plagiarism 2017Investigating Student Plagiarism Patterns and Correlations to Grades 2022Fooling MOSS Detection with Pretrained Language Models 2013Detection of source code similitude in academic environments

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