DocumentCode
1945358
Title
Disputed Authorship in C Program Code after Detection of Plagiarism
Author
Zhao, Jie ; Zhan, Guohua ; Feng, Juan
Author_Institution
Inf. Sci. & Eng. Sch., Hang Zhou Normal Univ., Hangzhou
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
86
Lastpage
89
Abstract
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.
Keywords
C language; copy protection; neural nets; support vector machines; C program code; C programming; Gauss axiom; Lagrange formula; disputed authorship; neural networks; plagiarism detection; source code; support vector machine; Educational institutions; Gaussian processes; Information science; Lagrangian functions; Neural networks; Plagiarism; Standards development; Standards publication; Support vector machine classification; Support vector machines; Gauss Axiom; Neural Networks; SVM; entropy; programming style; saddle of Lagrange formula;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.620
Filename
4721698
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