Style analysis for source code plagiarism detection - an analysis of a dataset of student coursework

Mirza, O.M., Joy, M. and Cosma, G. ORCID: 0000-0002-4663-6907, 2017. Style analysis for source code plagiarism detection - an analysis of a dataset of student coursework. In: M. Chang, N.S. Chen, R. Huang, Kinshuk, , D.G. Sampson and R. Vasiu, eds., 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT), Timisoara, Romania, 3-7 July 2017. Proceedings,. Los Alamitos, Calif.: IEEE Computer Society, pp. 296-297. ISBN 9781538638705

Full text not available from this repository.
Item Type: Chapter in book
Creators: Mirza, O.M., Joy, M. and Cosma, G.
Publisher: IEEE Computer Society
Place of Publication: Los Alamitos, Calif.
Date: July 2017
ISSN: 2161-377X
Identifiers:
NumberType
10.1109/ICALT.2017.117DOI
Rights: Copyright © 2017 by The Institute of Electrical and Electronics Engineers
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 31 Aug 2017 14:06
Last Modified: 31 Aug 2017 15:30
URI: http://irep.ntu.ac.uk/id/eprint/31509

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