Please use this identifier to cite or link to this item:
|Title:||A new model for semiautomatic student source code assessment||Authors:||Stankov, Emil
Madevska Bogdanova, Ana
|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|
Show full item record
checked on Jun 29, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.