The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
How Students Plagiarize Modeling Assignments
Abstract
Plagiarism is a prevalent issue in computer science education, with students employing various techniques to conceal their plagiarism. While it is essential to understand how students engage in plagiaristic behaviors, it remains unclear how students do so for modeling assignments. To close this gap, we conducted an experiment involving novice modelers, instructing them to plagiarize a modeling assignment while concealing its source. Thus, this paper explores students' specific techniques to conceal modeling plagiarism. Our work initiates a discussion on plagiarism in modeling assignments and sheds light on the challenges associated with detecting and addressing it.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Towards a Definition of Source-Code Plagiarism
Cosma, G., & Joy, M. (2008) · IEEE Transactions on Education · doi:10.1109/te.2007.906776 · Cited by 146
Le, T., Carbone, A., Sheard, J., Schuhmacher, M., de Raath, M., & Johnson, C. (2013) · 2013 Learning and Teaching in Computing and Engineering · doi:10.1109/latice.2013.37 · Cited by 23
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Cited by
Sorted by citations
Detecting Automatic Software Plagiarism via Token Sequence Normalization
Sağlam, T., Brödel, M., Schmid, L., & Hahner, S. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering · doi:10.1145/3597503.3639192 · Cited by 9
Self-citation
Metadata
- Authors
- Sağlam, T., Schmid, L., Hahner, S., & Burger, E.
- Affiliations
- Karlsruhe Institute of Technology (DE)
- Venue
- 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
- Publisher
- IEEE
- Published
- 2023-10-01
- Pages
- 98-101
- OpenAlex
- W4390098434
- Cited by
- 6
- References
- 2
- Citations by year
- 2025: 2 · 2024: 4
- FWCI
- 1.50
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) (publishedVersion)
- Topics
- Social Sciences › Education › 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, computer science education, novice modelers, plagiarism detection, software modeling
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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