Desktop Tools for Offline Plagiarism Detection in Computer Programs
Open accessAbstract
Plagiarism in universities has always been a difficult problem to overcome. Various tools have been developed over the past few years to help teachers detect plagiarism in students' work. By being able to categorize the multitude of plagiarism detection tools, it is possible to estimate their capabilities, advantages and disadvantages. In this article I consider modern plagiarism software solutions, paying attention mostly to desktop systems intended for plagiarism detection in program code. I also estimate the speed and reliability of different plagiarism detection systems that are currently available.
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All implemented source code transformations are referenced from prior literature and conform to the first 5 levels of Faidhi and Robinson's transformation taxonomy.
“To ensure the generated programs are representative of undergraduate plagiarism, all implemented source code transformations (listed in table 4) are referenced from prior literature [7], [10], [50], [51], and conform to the first 5 levels of Faidhi and Robinson's [10] transformation taxonomy.”
From Academic Source Code Plagiarism Detection by Measuring Program Behavioral Similarity (2021) · cites this paper as [50]
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- Authors
- MOZGOVOY, M.
- Affiliations
- Vilnius University (LT)
- Corresponding author
- MOZGOVOY, Maxim
- ORCID
- MOZGOVOY, Maxim
- Venue
- Informatics in Education
- Publisher
- Vilnius University Press
- Published
- 2006-04-15
- Volume
- 5
- Issue
- 1
- Pages
- 97-112
- ISSN
- 1648-5831 (ISSN-L)
- 2335-8971
- OpenAlex
- W2135409670
- Cited by
- 46
- References
- 36
- Citations by year
- 2022: 1 · 2021: 3 · 2020: 1 · 2019: 5 · 2018: 1 · 2017: 2 · 2016: 3 · 2015: 4 · 2014: 13 · 2013: 1 · 2012: 2
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Informatics in Education (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Keywords
- plagiarism detection, academic integrity, software reliability, detection speed
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