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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 제어로봇시스템학회 International Journal of Control, Automation, and Systems International Journal of Control, Automation, and Systems 제6권 제6호
- 발행연도
- 2008.12
- 수록면
- 809 - 817 (9page)
이용수
초록· 키워드
오류제보하기
Program plagiarism is widespread due to intelligent software and the global Internet environment. Consequently the detection of plagiarized source code and software is becoming important especially in academic field. Though numerous studies have been reported for detecting plagiarized pairs of codes, we cannot find any profound work on understanding the underlying mechanisms of plagiarism. In this paper, we study the evolutionary process of source codes regarding that the plagiarism procedure can be considered as evolutionary steps of source codes. The final goal of our paper is to reconstruct a tree depicting the evolution process in the source code. To this end, we extend the well-known bioinformatics approach, a local alignment approach, to detect a region of similar code with an adaptive scoring matrix. The asymmetric code similarity based on the local alignment can be considered as one of the main contribution of this paper. The phylogenetic tree or evolution tree of source codes can be reconstructed using this asymmetric measure. To show the effectiveness and efficiency of the phylogeny construction algorithm, we conducted experiments with more than 100 real source codes which were obtained from East-Asia ICPC (International Collegiate Programming Contest). Our experiments showed that the proposed algorithm is quite successful in reconstructing the evolutionary direction, which enables us to identify plagiarized codes more accurately and reliably. Also, the phylogeny construction algorithm is successfully implemented on top of the plagiarism detection system of an automatic program evaluation system.
목차
Abstract
1. INTRODUCTION
2. MAIN PROBLEMS
3. ASYMMETRIC SIMILARITY MEASURE FOR CODE PLAGIARISM
4. INFERRING ALGORITHM FOR PHYLOGENETIC TREE
5. EXPERIMENTS
6. APPLICATION: AUTOMATED EVALUATING SYSTEM FOR PROGRAMMING ASSIGNMENT WITH ANTI-PLAGIARISM FEATURES
7. CONCLUSION
REFERENCES
참고문헌 (20)
참고문헌 신청
1. [단행본] - N. Forbes / 2004 / Imitation of Life: How Biology is Inspiring Computing / MIT Press
2. [학술지(정기간행물)] - L. A. Goldberg / 1998 / Constructing computer virus phylogenies / J. of Algorithms 26 (1) : 188 ~ 208
3. [학술지(정기간행물)] - J.-H. Ji / 2007 / A source code linearization technique for detecting plagiarized programs / ACM SIGCSE Bulletin 39 (3) : 73 ~ 77
4. [학술대회논문] - J.-H. Ji / 2007 / An intelligent system for detecting source code plagiarism using a probabilistic graph model / Proc. of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM Posters 2007 : 55 ~ 69
5. [학술대회논문] - J.-H. Ji / 2007 / Evolution analysis of homogenous source code and its application to plagiarism detection / Proc. of the FBIT2007 : 813 ~ 818
2. [학술지(정기간행물)] - L. A. Goldberg / 1998 / Constructing computer virus phylogenies / J. of Algorithms 26 (1) : 188 ~ 208
3. [학술지(정기간행물)] - J.-H. Ji / 2007 / A source code linearization technique for detecting plagiarized programs / ACM SIGCSE Bulletin 39 (3) : 73 ~ 77
4. [학술대회논문] - J.-H. Ji / 2007 / An intelligent system for detecting source code plagiarism using a probabilistic graph model / Proc. of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM Posters 2007 : 55 ~ 69
5. [학술대회논문] - J.-H. Ji / 2007 / Evolution analysis of homogenous source code and its application to plagiarism detection / Proc. of the FBIT2007 : 813 ~ 818
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UCI(KEPA) : I410-ECN-0101-2013-569-003217708