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Computer Science and Software Engineering, International Conference on (2008)
Dec. 12, 2008 to Dec. 14, 2008
ISBN: 978-0-7695-3336-0
pp: 86-89
In recent years disputed authorship in source code has been congruently neglected after detection of plagiarism has been heatedly debated for a long period, theoretical and feasible measures have been taken to weight its property. In this paper, according to existence of individual but distinct programming style, the authors, with aid of SVM ( Support Vector Machine), one tool of Neural Networks and a series of algorithm, examine a brand-new application to puzzle out who is the real writer in C programming surrounded by crowds of reputed ones . The whole algorithm in SVM is a process to carry out: first, refined the frequencies as training sets through math formulas such like Gauss Axiom, Lagrange formula are classified into value 1 or -1; then travel neural networks to get result sequence .it is a feasible approach to detect the authorship in C programming after detection of plagiarism.
SVM, Neural Networks, Gauss Axiom, programming style, saddle of Lagrange formula, entropy

J. Zhao, J. Feng and G. Zhan, "Disputed Authorship in C Program Code after Detection of Plagiarism," 2008 International Conference on Computer Science and Software Engineering (CSSE 2008)(CSSE), Hubei, 2008, pp. 86-89.
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