Suitability of BlackBox dataset for style analysis in detection of source code plagiarism

Mirza, O.M., Joy, M. and Cosma, G. ORCID: 0000-0002-4663-6907, 2017. Suitability of BlackBox dataset for style analysis in detection of source code plagiarism. In: 2017 Seventh International Conference on Innovative Computing Technology (INTECH), Luton, 16-18 August 2017. Proceedings. Institute of Electrical and Electronics Engineers (IEEE), pp. 90-94. ISBN 9781509039906

Full text not available from this repository.
Item Type: Chapter in book
Creators: Mirza, O.M., Joy, M. and Cosma, G.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: August 2017
Identifiers:
NumberType
10.1109/INTECH.2017.8102424DOI
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 05 Feb 2018 12:44
Last Modified: 05 Feb 2018 12:44
URI: http://irep.ntu.ac.uk/id/eprint/32635

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