Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17747
Title: A new model for semiautomatic student source code assessment
Authors: Stankov, Emil 
Jovanov, Mile 
Madevska Bogdanova, Ana
Gushev, Marjan 
Keywords: programming code, source code assessment, code similarity, clustering, human – computer collaboration
Issue Date: 31-Oct-2013
Publisher: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
Journal: Journal of computing and information technology
Abstract: Programming courses at university and high school level, and competitions in informatics (programming), often require fast assessment of the received programming tasks solutions. This problem is usually solved by the use of automated systems that check the produced output for some test cases for every solution. In this paper, we present a new model for semiautomatic student source codes assessment for a given programming task, based on our approach of representation of the program codes as vectors. It represents a human and computer collaborative effort. Our research on the use of these vectors in data mining analysis of the source codes, with the achieved excellent results on the number of correctly clustered items, is a solid foundation for the proposed model. At the end, we present the results of the preliminary testing of the model.
URI: http://hdl.handle.net/20.500.12188/17747
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles

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