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

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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
ISBN:	9781538638705
ISSN:	2161-377X
Identifiers:	Number Type 10.1109/ICALT.2017.117 DOI
Rights:	Copyright © 2017 by The Institute of Electrical and Electronics Engineers
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	31 Aug 2017 14:06
Last Modified:	31 Aug 2017 15:30
URI:	https://irep.ntu.ac.uk/id/eprint/31509

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