• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.44-53
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• 2010

Program plagiarism is a significant factor to reduce the quality of education in computer programming. In this paper, we propose the technique of identifying similar or identical programs in order to prevent students from reckless copying their programming assignments. Existing approaches for identifying similar programs are mainly based on fingerprints or pattern matching for text documents. Different from those existing approaches, we propose an approach based on the program structur. Using paring progrmas, we first transform programs into XML documents by representing syntactic components in the programs with elements in XML document, then run X-tree Diff+, which is the change detection algorithm for XML documents, and produce an edit script as a change. The decision of similar or identical programs is made on the analysis of edit scripts in terms of program plagiarism. Analysis of edit scripts allows users to understand the process of conversion between two programs so that users can make qualitative judgement considering the characteristics of program assignment and the degree of plagiarism.

• Development and Reproduction
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• v.15 no.1
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• pp.71-76
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• 2011

Due to its role in maintaining the health of scientific societies, research ethics (or integrity) is notably receiving attention by academia, governments and even individuals who are not engaged in scientific researches. In this paper, I will introduce some valuable papers dealt with plagiarism as a representative research misconduct. In general, researcher's results that will soon be published must meet the crucial scientific criteria: originality, accuracy, reproducibility, precision and research ethics. The definition of plagiarism is "appropriation of another person's ideas, processes, results, or words without giving appropriate credit." Compared to fabrication and falcification, plagiarism is often considered as a minor misconduct. With intentionality, however, plagiarism can be corresponding to 'theft of intellectual product'. The context of plagiarism is not restricted to the stage of publication. It can be extended to prior stages of proposing (i.e. preparing the research proposal) and performing (executing the research), and reviewing (writing the review papers). Duplicate publication is regarded as a self-plagiarism in broad interpretation of plagiarism. To avoid dangers of plagiarism, earnest efforts from all members of scientific community are needed. First of all, researchers should keep 'transparency' and 'integrity' in their scientific works. Editorial board members and reviewers should keep fairness and well-deserved qualification. Government and research foundations must be willing to provide sufficient financial and policy support to the scientific societies; Up-graded editorial services, making good use of plagiarism detection tools, and thorough instruction on how to write a honest scientific paper will contribute to building up a healthy basis for scientific communities.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.31-45
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• 2018

Recent dramatical development of computer technology related to internet technology intensifies the dispute over software of computer or smart device. Research on software has been flourished with political issuing of fierce competition among nations for software development. Particularly industrial growth in ethernet based big data and IoT (Internet of Things) has promoted to build and develop open source programs based on java, xcode and C. On these circumstances, issue on software piracy has been confronted despite the basic security policy protecting intellectual property rights of software and thus it is of substantial importance to protect the rights of originality of source program license. However, the other issue on source technology protection of developer is the possibility of hindrance to advancement in industry and culture by developing programs. This study discuss the way of enhancing legal stability of IoT application program development and reinforcing precision in inspection of program plagiarism by analyzing the source programs with newly introducing text mining technique, thus suggests an alternative protective way of infringement of personal information due to duplicating program.

• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.394-402
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• 2010

JavaScript is one of the most popular languages to develope web sites and web applications. Since applicationss written in JavaScript are sent to clients as the original source code, they are easily exposed to plagiarists. Therefore, a method to detect plagiarized JavaScript programs is necessary. The conventional program dependency graph(PDG) based approaches are not suitable to analyze JavaScript programs because they do not reflect dynamic features of JavaScript. They also generate false positives in some cases and show inefficiency with large scale search space. We devise a JavaScript specific PDG(JS PDG) that captures dynamic features of JavaScript and propose a JavaScript plagiarism detection method for precise and fast detection. We evaluate the proposed plagiarism detection method with experiment. Our experiments show that our approach can detect false-positives generated by conventional PDG and can prune the plagiarism search space.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.147-150
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• 2006

본 논문에서는 각종 언어로 구현된 프로그램의 소스 코드를 표절 하였을 경우 이를 효과적으로 탐지하는 방법과 이론을 제시하고자 한다. 기존에 사용되고 있는 프로그램 표절(plagiarism) 검사 소프트웨어의 장단점을 분석하고, 특히 단점을 극복하기 위한 방법으로 Pattern Matching을 이용한 표절 검출방법을 소개한다. 그리고 기존의 Pattern Matching을 이용한 방법에서 나타나는 문제점을 극복하여 좀 더 발전된 방식의 자동 표절 검출 시스템을 소개하고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.177-184
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• 2003

Protection of digital properties such as computer S/W, digital contents is the most important topics. For this, this paper describes the domestic and foreign trends for protecting digital properties and S/W tools for inspecting of plagiarism is compared and analyzed. The analysis of research activities of foreign inspection institutes such as JISC and domestic institutes and communities has done. Also, S/W tools for inspecting of natural language plagiarism is analyzed.Having been speed development of The Content Technology,

• Journal of KIISE:Software and Applications
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• v.33 no.12
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• pp.1090-1102
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• 2006

This paper suggests a new algorithm for detecting the plagiarism among a set of source codes, constrained to be functionally equivalent, such are submitted for a programming assignment or for a programming contest problem. The typical algorithms largely exploited up to now are based on Greedy-String Tiling, which seeks for a perfect match of substrings, and analysis of similarity between strings based on the local alignment of the two strings. This paper introduces a new method for detecting the similar interval of the given programs based on an adaptive similarity matrix, each entry of which is the logarithm of the probabilities of the keywords based on the frequencies of them in the given set of programs. We experimented this method using a set of programs submitted for more than 10 real programming contests. According to the experimental results, we can find several advantages of this method compared to the previous one which uses fixed similarity matrix(+1 for match, -1 for mismatch, -2 for gap) and also can find that the adaptive similarity matrix can be used for detecting various plagiarism cases.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.3
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• pp.352-367
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• 2003

The syntactic and semantic characteristics of a computer program can be represented by the keywords sequence extracted from the source code. Therefore the similarity and the difference between two programs can be clearly figured out by comparing the keyword sequences obtained from the given programs. Various methods for measuring the similarity of two different sequences have been intensively studied already in bioinformatics on biological genetic sequence manipulation. In this paper, we propose a new method for measuring the similarity of two different programs and detecting the partial plagiarism by exploiting the sequence alignment techniques. In order to evaluate the performance of the proposed method, we experimented with the actual Program codes submitted by 70 students attending a Data Structure course )tow 2001. The experimental results show that the proposed method is more effective and powerful than the fingerprint method which is the most commonly used for the Plagiarism detection.

• Journal of Korean society of Dental Hygiene
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• v.16 no.6
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• pp.1023-1031
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• 2016

Objectives: The purpose of the study was to investigate the related factors of learning ethics of dental hygiene students. Methods: A self-reported questionnaire was completed by 278 dental hygiene students in G metropolitan city from June 9 to July 29, 2016. The data were analyzed by frequency analysis, percentage and stepwise multiple regression analysis using SPSS 12.0 program. The questionnaire comprised learning ethics (10 items), condition of learning ethics (10 items), reason of plagiarism (8 items), intellectual property right consciousness (8 items), internet ethics consciousness (20 items), individual ethics consciousness (2 items). Results: Condition of learning ethics was higher in mosaic plagiarism (33.9%). The main reason of plagiarism was higher in lack of time (52.7%). Related factors with the intellectual property right consciousness was use of reference (${\beta}=0.424$), internet expectancy (${\beta}=0.228$) and parental rearing attitude (${\beta}=0.229$) (Adjusted $R^2=0.336$). Related factors with the internet ethics consciousness were parental rearing attitude (${\beta}=-0.241$), academic achievements (${\beta}=0.420$), internet expectancy (${\beta}=-0.368$) and grade (${\beta}=-0.154$)(Adjusted $R^2=0.390$). Related factor with the individual ethics consciousness was academic achievements (${\beta}=0.445$) (Adjusted $R^2=0.192$). Conclusions: To increase the learning ethics and preventing plagiarism, it is necessary to have essential understanding and practice to make the liberal arts education and extracurricular program of institutions.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.31-40
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• 2021

Plagiarism refers to the act of using the original data as if it were one's own without revealing the source. The plagiarism of source code causes a variety of problems, including legal disputes. Plagiarism in software projects is usually determined by measuring similarity by comparing every pair of source code within two projects. However, blindly comparing every pair has been a huge computational burden, causing a major factor of not using tools of better accuracy. If we can only compare pairs that are probable to be clones, eliminating pairs that are impossible to be clones, we can concentrate more on improving the accuracy of detection. In this paper, we propose a method of selecting highly probable candidates of clone pairs by pre-classifying suspected source-codes using a machine-learning model called code2vec.