Abstract
It is difficult for teachers to find out copies in their program assignments. We propose a method which detects the similarity of assignments. We first transform a program into a sequence of tokens and provide it to an artificial neural network. The neural network is optimized by a hybrid genetic algorithm. Experimental results showed considerable improvement on artificial neural networks. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Yang, S. J., Kim, Y. G., Kwon, Y. K., & Moon, B. R. (2003). Assignment copy detection using neuro-genetic hybrids. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2724, 2426–2427. https://doi.org/10.1007/3-540-45110-2_146
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