- Title
- Mapping Similarity Detectors of Code Clone to Academic Integrity in Programming
- Creator
- Pangestu, Muftah Afrizal; Karnalim, Oscar; Simon,
- Relation
- 5th IEEE World Conference on Engineering Education (EDUNINE). Proceedings of 5th IEEE World Conference on Engineering Education (EDUNINE) (Guatemala City, Guatemala 14-17 March, 2021)
- Publisher Link
- http://dx.doi.org/10.1109/EDUNINE51952.2021.9429164
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2021
- Description
- When dealing with academic integrity in programming, code similarity detectors are often used to raise suspicion of student programs with undue similarity. However, it appears that only detectors designed for that purpose are discussed in computing education publications, although similarity detectors for other purposes might also be beneficial, both to foster research and to avoid `reinventing the wheel'. This paper maps similarity detectors used to identify code clones, repeated code segments in a software system, to the classifications used for academic integrity purposes. It will help academic integrity researchers to understand code clone similarity detectors and to read papers from that area. While there are other reviews of code clone detection, ours should be easier for computing educators to read as it uses the terminologies of academic integrity.
- Subject
- code similarity detection; code clone; academic integrity; programming; computing education
- Identifier
- http://hdl.handle.net/1959.13/1463398
- Identifier
- uon:46723
- Identifier
- ISBN:9781665403023
- Language
- eng
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