An Automatic Rule Based Neuro-Fuzzy Plagiarism Detection System

Vol. 1 No. 2

Year : 2006

Issue : Nov-Jan

Title  : An Automatic Rule Based Neuro-Fuzzy Plagiarism Detection System 

Author Name  : Moumita Ghosh, Ranadhir Ghosh , John Yearwood 

Synopsis  : 

In this paper, we propose and discuss a fully automated system for marking and plagiarism detection for programming assessment using self organizing map (SOM) and fuzzy logic. The plagiarism approach involves finding similarities between programs submitted by students, and rank them depending on their similarity metrics based SOM clustering. The distance from the cluster centroid for individual assignment is calculated using fuzzy technique. The system is a syntax dependant approach for C language and is based on a tree data structure with leafs and attributes that denote the semantic translation of the given program. The system has been tested successfully on real world programming assignments from software development course.