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Plagiarism Detection

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Plagiarism Detection
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY COCHIN – 682022 2010

Seminar Report On PLAGIARISM DETECTION TECHNIQUES

Submitted By

Sangeetha Jamal

In partial fulfillment of the requirement for the award of

Degree of Master of Technology (M.Tech)

In

Software Engineering

ABSTRACT

Plagiarism refers to “the act of copying materials without actually acknowledging the original source”. Plagiarism has seen a widespread activity in the recent times. The increase in the number of materials available now in the electronic form and the easy access to the internet has increased plagiarism. Manual detection of plagiarism is not very easy and is time consuming due to the vast amount of contents available. Techniques are available now which help us to detect plagiarism. As the amount of programming code being created is increasing, techniques are available now to detect plagiarism in source code also. Current research is in the field of development of algorithms that can compare and detect plagiarism. In this paper a few techniques used in the Plagiarism Detection is shown along with some tools which are being used. Keywords : Plagiarism, Plagiarism Detection, Plagiarism Prevention, Source Code Plagiarism, Large Repositories

CONTENTS

1. INTRODUCTION………………………………………………………………1 2. DEFINITION OF PLAGIARISM………………………………………….….2 3. AVOIDING PLAGIARISM …………………………………………………..3 4. PLAGIARISM PREVENTION………………………………………….…….4 5. PLAGIARISM DETECTION …………………...……………………………4 5.1. PLAGIARISM DETECTION SYSTEMS ........................................5 5.1.1 TEXT BASED DETECTION SYSTEMS..................................5 5.1.2 CODE BASED DETECTION SYSTEMS……………………...9 6. DISADVANTAGES OF PLAGIARISM DETECTION SYSTEM.....….….17 7. CASE STUDY………………………………………………………………… 17 8. CONCLUSION……………………………………………………………..…..22 9. REFERENCES…………………………………………………………….…...23

Plagiarism Detection Techniques

1. INTRODUCTION
Plagiarism has become a world-wide problem and is increasing


References: [1] Steven Burrows 1, Seyed M. M. Tahaghoghi 1 & Justin Zobel, Proceedings of the Second Australian Undergraduate Students ' Computing Conference, 2004 http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.69.4500&rep=rep1&ty pe=pdf [2] Georgina Cosma, Mike Joy, Daniel White and Jane Yau, 9th August 2007 ,ICS, University of Ulster http://www.ics.heacademy.ac.uk/resources/assessment/plagiarism/ [3] Plagiarism detection software, How effective it is?, CSHE, http://www.cshe.unimelb.edu.au/assessinglearning/docs/PlagSoftware.pdf [4] Maeve Paris, School of Computing & Intelligent Systems, University of Ulster http://www.ics.heacademy.ac.uk/Events/conf2003/maeve.htm [5] Dr. Dobb’s, http://www.drdobbs.com/184405734;jsessionid=ASPANV2RKXIO 3QE1GHOSKH4ATMY32JVN [6] S.A.F.E, E http://www.safe-corp.biz/products_codesuite.htm Department of Computer Science, CUSAT 23
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