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.
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© 2003 Springer-Verlag Berlin Heidelberg
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Yang, SJ., Kim, YG., Kwon, YK., Moon, BR. (2003). Assignment Copy Detection Using Neuro-genetic Hybrids. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45110-2_146
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DOI: https://doi.org/10.1007/3-540-45110-2_146
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40603-7
Online ISBN: 978-3-540-45110-5
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