Log in

Relevant bibliographies by topics / Code plagiarism / Journal articles

To see the other types of publications on this topic, follow the link: Code plagiarism.

Journal articles on the topic 'Code plagiarism'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Code plagiarism.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Budiman, Ariel, and Oscar Karnalim. "Automated Hints Generation for Investigating Source Code Plagiarism and Identifying The Culprits on In-Class Individual Programming Assessment." Computers 8, no. 1 (2019): 11. http://dx.doi.org/10.3390/computers8010011.

Full text

Abstract:

Most source code plagiarism detection tools only rely on source code similarity to indicate plagiarism. This can be an issue since not all source code pairs with high similarity are plagiarism. Moreover, the culprits (i.e., the ones who plagiarise) cannot be differentiated from the victims even though they need to be educated further on different ways. This paper proposes a mechanism to generate hints for investigating source code plagiarism and identifying the culprits on in-class individual programming assessment. The hints are collected from the culprits’ copying behaviour during the assess

APA, Harvard, Vancouver, ISO, and other styles

2

Shen, Victor R. L. "Novel Code Plagiarism Detection Based on Abstract Syntax Tree and Fuzzy Petri Nets." International Journal of Engineering Education 1, no. 1 (2019): 46–56. http://dx.doi.org/10.14710/ijee.1.1.46-56.

Full text

Abstract:

Those students who major in computer science and/or engineering are required to design program codes in a variety of programming languages. However, many students submit their source codes they get from the Internet or friends with no or few modifications. Detecting the code plagiarisms done by students is very time-consuming and leads to the problems of unfair learning performance evaluation. This paper proposes a novel method to detect the source code plagiarisms by using a high-level fuzzy Petri net (HLFPN) based on abstract syntax tree (AST). First, the AST of each source code is generated

APA, Harvard, Vancouver, ISO, and other styles

3

Awale, Nishesh, Mitesh Pandey, Anish Dulal, and Bibek Timsina. "Plagiarism Detection in Programming Assignments using Machine Learning." September 2020 2, no. 3 (2020): 177–84. http://dx.doi.org/10.36548/jaicn.2020.3.005.

Full text

Abstract:

Plagiarism in programming assignments has been increasing these days which affects the evaluation of students. Thispaper proposes a machine learning approach for plagiarism detection of programming assignments. Different features related to source code are computed based on similarity score of n-grams, code style similarity and dead codes. Then, xgboost model is used for training and predicting whether a pair of source code are plagiarised or not. Many plagiarism techniques ignores dead codes such as unused variables and functions in their predictions tasks. But number of unused variables and

APA, Harvard, Vancouver, ISO, and other styles

4

Shu, Bo, and Xiao Jun Du. "Software Source Code Plagiarism and Direction Detection Based on PDG." Applied Mechanics and Materials 373-375 (August 2013): 1172–77. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1172.

Full text

Abstract:

Because of the complexity of the software development, some software developers may plagiarize source code that comes from other projects or open source software in order to shorten development cycle. Usually the copyist would modify and disguise the source code copied to escape plagiarism detection. So far, most algorithms cant completely detect the source disguised by the copyist, especially cant exactly distinguish between the source code and the plagiaristic code. In this paper, we summarize and analyze the effect of disguised source to the detection process, design the strategy to remove

APA, Harvard, Vancouver, ISO, and other styles

5

Astica, Yustikamasy, Ema Utami, and Anggit Dwi Hartanto. "Analysis of the Similiarity Level of Source Code in the Kotlin Programming Language using Winnowing Algorithm." International Journal of Artificial Intelligence Research 7, no. 1 (2023): 39. http://dx.doi.org/10.29099/ijair.v7i1.902.

Full text

Abstract:

Plagiarism is an act of imitating the work of others directly or indirectly. In an academic environment, plagiarism applies not only to textual documents but also to source code documents. Source code plagiarism in academia usually occurs when students copy another student's code and submit it as if it were the student's work. So that an automatic plagiarism check is needed, the winnowing algorithm will be used to help detect similarities in source code as a way to detect an act of plagiarism. The Winnowing algorithm, which is usually used to detect document plagiarism, this research detects t

APA, Harvard, Vancouver, ISO, and other styles

6

Franclinton, Ricardo, and Oscar Karnalim. "A Language-Independent Library for Observing Source Code Plagiarism." Journal of Information Systems Engineering and Business Intelligence 5, no. 2 (2019): 110. http://dx.doi.org/10.20473/jisebi.5.2.110-119.

Full text

Abstract:

Background: Most source code plagiarism detection tools are not modifiable. Consequently, when a modification is required to be applied, a new detection tool should be created along with it. This could be a problem as creating the tool from scratch is time-inefficient while most of the features are similar across source code plagiarism detection tools.Objective: To alleviate researchers' effort, this paper proposes a library for observing two plagiarism-suspected codes (a feature which is similar across most source code plagiarism detection tools).Methods: Unique to this library, it is not con

APA, Harvard, Vancouver, ISO, and other styles

7

Rahal, Imad, and Colin Wielga. "Source Code Plagiarism Detection Using Biological String Similarity Algorithms." Journal of Information & Knowledge Management 13, no. 03 (2014): 1450028. http://dx.doi.org/10.1142/s0219649214500282.

Full text

Abstract:

Source code plagiarism is easy to commit but difficult to catch. Many approaches have been proposed in the literature to automate its detection; however there is little consensus on what works best. In this paper, we propose two new measures for determining the accuracy of a given technique and describe an approach to convert code files into strings which can then be compared for similarity in order to detect plagiarism. We then compare several string comparison techniques, heavily utilised in the area of biological sequence alignment, and compare their performance on a large collection of stu

APA, Harvard, Vancouver, ISO, and other styles

8

Lee, Gunwoo, Jindae Kim, Myung-seok Choi, Rae-Young Jang, and Ryong Lee. "Review of Code Similarity and Plagiarism Detection Research Studies." Applied Sciences 13, no. 20 (2023): 11358. http://dx.doi.org/10.3390/app132011358.

Full text

Abstract:

The foundational technique of code similarity detection, which underpins plagiarism detection tools, has already reached a level of maturity where it can be effectively employed for practical applications, demonstrating commendable performance. However, although the understanding of code clones—referred to as similar codes—has evolved, there has been a noticeable decline in the emergence of novel proposals for code similarity detection techniques. The landscape of code similarity detection techniques is diverse and can be divided based on how codes are represented. Each method, designed to cat

APA, Harvard, Vancouver, ISO, and other styles

9

Manyrath, Jayden, Kaleb Kirubel, and Thomas Cruz. "Copy-Past Culture: Examining the Causes and Solutions to Source Code Plagiarism." London Journal of Social Sciences, no. 6 (September 17, 2023): 49–55. http://dx.doi.org/10.31039/ljss.2023.6.104.

Full text

Abstract:

In an era marked by the increasing digitization of society, the issue of source code plagiarism has emerged as a persistent concern. This research paper delves into the problem of source code plagiarism within educational settings, exploring its implications, potential remedies, and the associated hurdles in implementing these solutions. Source code plagiarism involves the unauthorized copying of code without proper attribution, and it has been on the rise in educational institutions due to various contributing factors. This paper sheds light on the educational system's pressures, time constra

APA, Harvard, Vancouver, ISO, and other styles

10

Karnalim, Oscar, and Aldi Aldiansyah. "Python Source Code Plagiarism Attacks in Object-Oriented Environment." Computer Engineering and Applications Journal 6, no. 3 (2017): 87–84. http://dx.doi.org/10.18495/comengapp.v6i3.217.

Full text

Abstract:

Since source code plagiarism is an emerging issue on Computer Science major and Python is a new popular programming language, this paper aims to empirically enlist plagiarism attacks that might be occurred on Python source code. As our case study, our work will be focused on source code plagiarism in object-oriented environment. The result of this work is expected to become either an evaluation baseline or a prior knowledge for developing Python-targeted plagiarism detection system. Based on 280 plagiarism-suspected pairs that were extracted from four Basic Data Structure classes, four finding

APA, Harvard, Vancouver, ISO, and other styles

11

Zhu, Hong Mei, Liang Zhang, Wei Sun, and Yong Xiang Sun. "A Token Oriented Measurement Method of Source Code Similarity." Applied Mechanics and Materials 668-669 (October 2014): 899–902. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.899.

Full text

Abstract:

In order to help teachers to identify plagiarism in student assignment submissions among students’ Source code quickly and accurately, this paper discusses a measurement method of Source code similarity. In the proposed algorithm, firstly, both of token oriented edit distance (TD) and token oriented length of longest common subsequence (TLCSLen) is calculated; secondly, considering the TD and TLCSLen, a similarity calculation formula is given to measure similarity of Source code; Thirdly, a dynamic and variable similarity threshold is set to determine whether there is plagiarism between Source

APA, Harvard, Vancouver, ISO, and other styles

12

Htet, Ei Ei, Khaing Hsu Wai, Soe Thandar Aung, et al. "Code Plagiarism Checking Function and Its Application for Code Writing Problem in Java Programming Learning Assistant System." Analytics 3, no. 1 (2024): 46–62. http://dx.doi.org/10.3390/analytics3010004.

Full text

Abstract:

A web-based Java programming learning assistant system (JPLAS) has been developed for novice students to study Java programming by themselves while enhancing code reading and code writing skills. One type of the implemented exercise problem is code writing problem (CWP), which asks students to create a source code that can pass the given test code. The correctness of this answer code is validated by running them on JUnit. In previous works, a Python-based answer code validation program was implemented to assist teachers. It automatically verifies the source codes from all the students for one

APA, Harvard, Vancouver, ISO, and other styles

13

Lawal Abba, Hadiza, Abubakar Roko, Aminu B. Muhammad, Abdulgafar Usman, and Abba Almu. "Enhanced Semantic Similarity Detection of Program Code Using Siamese Neural Network." International Journal of Advanced Networking and Applications 14, no. 02 (2022): 5353–60. http://dx.doi.org/10.35444/ijana.2022.14205.

Full text

Abstract:

Even though there are various source code plagiarism detection approaches, most of them are only concerned with lexical similarities attack with an assumption that plagiarism is only conducted by students who are not proficient in programming. However, plagiarism is often conducted not only due to student incapability but also because of bad time management. Thus, semantic similarity attacks should be detected and evaluated. This research proposes a source code semantic similarity detection approach that can detect most source code similarities by representing the source code into an Abstract

APA, Harvard, Vancouver, ISO, and other styles

14

Pradeep T, Adithya Kumar Gonepally, Arun Kumar Pusala, and Charan Teja Singarapu. "Anti-plagiarism tool helping developers to generate authentic code." International Journal of Science and Research Archive 14, no. 1 (2025): 1208–15. https://doi.org/10.30574/ijsra.2025.14.1.0199.

Full text

Abstract:

Source code plagiarism detection has become a critical area of research with the increasing prevalence of code reuse in academic and professional settings. In order to achieve thorough code comparison, this work introduces a novel tool for detecting source code plagiarism that combines lexical similarity, abstract syntax trees (ASTs) and cosine similarity. The system incorporates a dynamic front-end that was created using Streamlit, providing an intuitive user interface with a code editor that can run code. Through the "Check Similarity" feature, which calculates the plagiarism percentage and

APA, Harvard, Vancouver, ISO, and other styles

15

Rusdianto, Stephanie, and Ria Chaniago. "Penerapan Abstract Syntax Tree dan Algoritma Damerau-Levenshtein Distance untuk Mendeteksi Plagiarisme pada Berkas Source Code." Jurnal Telematika 13, no. 2 (2019): 105–10. http://dx.doi.org/10.61769/telematika.v13i2.236.

Full text

Abstract:

Plagiarism source code is a program that is made up of other programs that have same syntax structure. In this research, the approach used to detect plagiarism is tree-based by building abstract syntax tree base on grammar on two predefined plagiarism files source code. Damerau-Levenshtein Distance Algorithm will calculate the tree structure formed minimum distance value to get the percentage of similarity. Previously, the application calculated the value of threshold obtained from the average value of plagiarism plot paired pairs, and then were reduced to its standard deviation to be able to

APA, Harvard, Vancouver, ISO, and other styles

16

Raddam Sami Mehsen, Majharoddin M. Kazi, and Hiren Joshi. "Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques." Journal of Techniques 6, no. 2 (2024): 18–28. http://dx.doi.org/10.51173/jt.v6i2.1851.

Full text

Abstract:

In pragmatic courses, graduate students are required to submit programming assignments, which have been susceptible to various forms of plagiarism. Detecting counterfeited code in an academic setting is of paramount importance, given the prevalence of publications and papers. Plagiarism, defined as the unauthorized replication of written work without proper acknowledgment, has become a critical concern with the advent of information and communication technology (ICT) and the widespread availability of scholarly publications online. However, the extensive use of freeware text editors has posed

APA, Harvard, Vancouver, ISO, and other styles

17

Smit, Imelda, Eduan Naudé, and Busisiwe Zulu. "A detection process to create awareness of source-code plagiarism among students using it to pass introductory programming." Independent Journal of Teaching and Learning 19, no. 1 (2024): 79–92. http://dx.doi.org/10.17159/ijtl.v19i1.18854.

Full text

Abstract:

The COVID-19 pandemic restrained the academic environment and changed the rules of the educational game; contact classes were restricted, and online assessments had to be introduced. This situation opened an opportunity for some students to use source-code plagiarism to pass coding assessments in the Introduction to Programming subject module. The focus of this paper is on making sense of this environment to establish a process to ensure that students obtain the skills they need to build on in subsequent modules. This is necessary to reach the outcomes of a computing course. Four aspects were

APA, Harvard, Vancouver, ISO, and other styles

18

Pahlawan, Muhamad Reiza, Rony Gunawan Sunaryo, and Agus Dwi Hariyanto. "Plagiarisme Karya Arsitektur dalam Perspektif Etika Profesi dan Kaidah Tata Laku Profesi Arsitek." ATRIUM: Jurnal Arsitektur 11, no. 1 (2024): 99–112. https://doi.org/10.21460/atrium.v11i1.385.

Full text

Abstract:

Title: Plagiarism of Architectural Works from the Perspective of Professional Ethics and the Code of Conduct for Architects Plagiarism in the creative and academic world is a serious issue related to intellectual property rights violations, including in the field of architecture. Law No. 28 of 2014 concerning Copyright protects architectural works as part of copyright, while the code of professional ethics formulated by the Indonesian Architects Association (IAI) regulates ethical aspects in architectural practice. However, until now there have been no clear parameters to determine whether an

APA, Harvard, Vancouver, ISO, and other styles

19

Ramli, Moh Sadly, Sugiarto Cokrowibowo, and Muh Fahmi Rustan. "Uji Plagiarism pada Tugas Mahasiswa Menggunakan Algoritma Winnowing." Journal of Applied Computer Science and Technology 2, no. 2 (2021): 108–12. http://dx.doi.org/10.52158/jacost.v2i2.177.

Full text

Abstract:

Plagiarism is the act of taking or plagiarizing the work, ideas or ideas of others either intentionally or unintentionally and claiming to be one's own work without mentioning the source or author. Often students plagiarize assignments given by the lecturer so that sometimes students just copy other people's assignments to complete the assignment. So that this can lead to dependence on other people in doing assignments and not being able to independently carry out assignments given by the lecturer. Currently, many plagiarism detection systems have been created to help reduce the level of plagi

APA, Harvard, Vancouver, ISO, and other styles

20

Jimmy, Jimmy, Viny Christanti Mawardi, and Agus Budi Dharmawan. "DETEKSI KEMIRIPAN SOURCE CODE DENGAN METODE FINGERPRINT BASED DISTANCE DAN LEVENSHTEIN DISTANCE." Computatio : Journal of Computer Science and Information Systems 2, no. 1 (2018): 101. http://dx.doi.org/10.24912/computatio.v2i1.1478.

Full text

Abstract:

The ease of accessing information makes easier to do plagiarism. Plagiarism not only applied to written essay, but these day copying other people’s program is also considered as plagiarism. This paper will researching an method to automatically calculating the similarity of pair of source code. The method used are fingerprint based distance and Levenshtein Distance. The result will be measured in accuracy, precision, and recall. The result is in some dataset, levenshtein distance is better than fingerprint based distance for detecting plagiarism in student’s code especially beginner in C++.

APA, Harvard, Vancouver, ISO, and other styles

21

Horváth, Marek, and Filip Gurbál’. "Code Clones: A Novel Approach to Detecting Plagiarism in Binary Decomposition of C Programs." Acta Electrotechnica et Informatica 24, no. 2 (2024): 13–18. http://dx.doi.org/10.2478/aei-2024-0006.

Full text

Abstract:

Abstract The escalation of code plagiarism in computer science education has necessitated the development of more sophisticated detection methods, particularly for binary files which pose a unique challenge. This study introduces a novel approach to plagiarism detection through binary decomposition, which decompiles binary files back into high-level code to reveal similarities that may be hidden at the binary level. The methodology is crucial for scenarios where students submit compiled programs, enabling the application of traditional code similarity analysis methods to detect instances of pl

APA, Harvard, Vancouver, ISO, and other styles

22

Juodkaitė - Granskienė, Gabrielė, Gintarė Herasimenkienė, Anelė Žalkauskienė, and Raimundas Jurka. "Problem of Definition of Plagiarism and Features of Usage of Other Texts Identified in Forensic Linguistics Examinations." Pedagogika 126, no. 2 (2017): 202–13. http://dx.doi.org/10.15823/p.2017.29.

Full text

Abstract:

The article presents definition of plagiarism used by academic society. Authors also present legal practices used in forensic linguistic examinations to determine breaches of authorship determined in Criminal code. The analysis presented reveals that the fact of determination of breach of author rights reflects also the plagiarism, but no always determinations of plagiarism leads to the determination of offence under Criminal code. Nevertheless, authors define main features of plagiarism, used for determination of breach of authorship which may be used in other academic procedures by different

APA, Harvard, Vancouver, ISO, and other styles

23

Laxman, Mrs Ghuge Madhuri. "Java Source Code Plagiarism Detection System." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (2018): 3596–600. http://dx.doi.org/10.22214/ijraset.2018.3748.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Joy, Mike, Georgina Cosma, Jane Yin-Kim Yau, and Jane Sinclair. "Source Code Plagiarism—A Student Perspective." IEEE Transactions on Education 54, no. 1 (2011): 125–32. http://dx.doi.org/10.1109/te.2010.2046664.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Koss, Ian, and Richard Ford. "Authorship Is Continuous: Managing Code Plagiarism." IEEE Security & Privacy 11, no. 2 (2013): 72–74. http://dx.doi.org/10.1109/msp.2013.26.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Kikuchi, Hiroshi, Takaaki Goto, Mitsuo Wakatsuki, and Tetsuro Nishino. "A Source Code Plagiarism Detecting Method Using Sequence Alignment with Abstract Syntax Tree Elements." International Journal of Software Innovation 3, no. 3 (2015): 41–56. http://dx.doi.org/10.4018/ijsi.2015070104.

Full text

Abstract:

Learning to program is an important subject in computer science courses. During programming exercises, plagiarism by copying and pasting can lead to problems for fair evaluation. Some methods of plagiarism detection are currently available, such as sim. However, because sim is easily influenced by changing the identifier or program statement order, it fails to do enough to support plagiarism detection. In this paper, the authors propose a plagiarism detection method which is not influenced by changing the identifier or program statement order. The authors also explain our method's capabilities

APA, Harvard, Vancouver, ISO, and other styles

27

Grocevs, Aleksejs, and Natālija Prokofjeva. "MODERN ALGORITHMS TO IDENTIFY PLAGIARISM." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2 (June 20, 2019): 61. http://dx.doi.org/10.17770/etr2019vol2.4058.

Full text

Abstract:

Nowadays information technology industry is growing extremely fast. To solve business needs, address researcher demand for problem solving a lot of programs are built from scratch. However, not all developers are fair enough to align their products with the corresponding library or another (open source) product licenses, i.e. copyrights are being violated, intentionally or due to familiarization with another source code. To address this issue in past decade multiple plagiarism detection techniques and algorithms were invented. Despite the fact, that many of them are capable of code comparison

APA, Harvard, Vancouver, ISO, and other styles

28

Jovanović, Miodrag. "Šta je "autoplagijat"?" Anali Pravnog fakulteta u Beogradu 71, no. 3 (2023): 595–605. http://dx.doi.org/10.51204/anali_pfbu_23306a.

Full text

Abstract:

In today’s era of heightened sensitivity to plagiarism, self-plagiarism is gaining recognition as a distinct ethical concern within the global academic community. While plagiarism has undergone detailed conceptual analysis, the same cannot be said for self-plagiarism. This concise review seeks to address this gap by examining key aspects of this academic ethical issue, as outlined in Article 25 of the Code of Professional Ethics at the University of Belgrade. Through this conceptual analysis, it becomes apparent that the Code specifically condemns the narrower practice of “duplicate or dual pu

APA, Harvard, Vancouver, ISO, and other styles

29

Tsibin, Аndrey, and Eugene Efimchik. "Source code plagiarism analysis and visualization for programming course." Computer Tools in Education, no. 4 (March 31, 2020): 79–92. http://dx.doi.org/10.32603/2071-2340-2020-4-79-92.

Full text

Abstract:

The problem of unfair borrowing in the academic environment is still relevant. Unfair borrowing, or plagiarism, is found today in various forms of academic activity, ranging from semester papers of students to dissertations of scientists. The development of communications and the global nature of interaction have led to a wide availability of materials that are easy to copy. This leads to the fact that it becomes easier for students to find a solution than to compose it. A separate problem is the unfair borrowing in the works of students of educational institutions, which they perform in the f

APA, Harvard, Vancouver, ISO, and other styles

30

V., Sathya, Nalayini C., M. Kiran Kumar, Kumar G., and Dinesh Babu M. "Plagiarism detection in verilog and textual content using linguistic features." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 3 (2025): 1924. https://doi.org/10.11591/ijeecs.v38.i3.pp1924-1935.

Full text

Abstract:

<span lang="EN-US">The illicit act of appropriating programming code has long been an appealing notion due to the immediate time and effort savings it affords perpetrators. However, it is universally acknowledged that concerted efforts are imperative to identify and rectify such transgressions. This is particularly crucial as academic institutions, including universities, may inadvertently confer degrees for work tainted by this form of plagiarism. Consequently, the primary objective of this research is to scrutinize the feasibility of identifying plagiarism within pairs of Verilog algor

APA, Harvard, Vancouver, ISO, and other styles

31

MOZGOVOY, Maxim. "Desktop Tools for Offline Plagiarism Detection in Computer Programs." Informatics in Education 5, no. 1 (2006): 97–112. http://dx.doi.org/10.15388/infedu.2006.08.

Full text

Abstract:

Plagiarism in universities has always been a difficult problem to overcome. Various tools have been developed over the past few years to help teachers detect plagiarism in students' work. By being able to categorize the multitude of plagiarism detection tools, it is possible to estimate their capabilities, advantages and disadvantages. In this article I consider modern plagiarism software solutions, paying attention mostly to desktop systems intended for plagiarism detection in program code. I also estimate the speed and reliability of different plagiarism detection systems that are currently

APA, Harvard, Vancouver, ISO, and other styles

32

Cosma, Georgina, and Mike Joy. "Towards a Definition of Source-Code Plagiarism." IEEE Transactions on Education 51, no. 2 (2008): 195–200. http://dx.doi.org/10.1109/te.2007.906776.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Bartoszuk, Maciej, and Marek Gagolewski. "SimilaR: R Code Clone and Plagiarism Detection." R Journal 12, no. 1 (2020): 367. http://dx.doi.org/10.32614/rj-2020-017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Všianský, Richard, Dita Dlabolová, and Tomáš Foltýnek. "Source code plagiarism detection for PHP language." European Journal of Business Science and Technology 3, no. 2 (2017): 106–17. http://dx.doi.org/10.11118/ejobsat.v3i2.100.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Burrows, Steven, S. M. M. Tahaghoghi, and Justin Zobel. "Efficient plagiarism detection for large code repositories." Software: Practice and Experience 37, no. 2 (2007): 151–75. http://dx.doi.org/10.1002/spe.750.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Rabbani, Faqih Salban, and Oscar Karnalim. "Detecting Source Code Plagiarism on .NET Programming Languages using Low-level Representation and Adaptive Local Alignment." Journal of information and organizational sciences 41, no. 1 (2017): 105–23. http://dx.doi.org/10.31341/jios.41.1.7.

Full text

Abstract:

Even though there are various source code plagiarism detection approaches, only a few works which are focused on low-level representation for deducting similarity. Most of them are only focused on lexical token sequence extracted from source code. In our point of view, low-level representation is more beneficial than lexical token since its form is more compact than the source code itself. It only considers semantic-preserving instructions and ignores many source code delimiter tokens. This paper proposes a source code plagiarism detection which rely on low-level representation. For a case stu

APA, Harvard, Vancouver, ISO, and other styles

37

Guo, Shuang, and JianBin Liu. "An Approach to Source Code Plagiarism Detection Based on Abstract Implementation Structure Diagram." MATEC Web of Conferences 232 (2018): 02038. http://dx.doi.org/10.1051/matecconf/201823202038.

Full text

Abstract:

Source-code plagiarism detection in programming, concerns the identification of source-code files that contain similar and/or identical source-code fragments. Based on the analysis of the characteristics and defects of the existing program code similarity detection system, a method of source code similarity detection based on Abstract Implementation Structure Diagram (AISD) is proposed. The source code modelling and format into an abstract implementation structure diagram, and forming structural feature strings and variable reference relationship sequences by extracting structural features and

APA, Harvard, Vancouver, ISO, and other styles

38

Myronenko, Serhii, and Yelyzaveta Myronenko. "Detecting Plagiarism in Student Assignments using Source Code Analysis." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 12 (September 4, 2024): 367–76. http://dx.doi.org/10.37394/232018.2024.12.36.

Full text

Abstract:

The issue of accurately detecting semantically equivalent code remains a current problem for students, teachers, and researchers. The goal of this article was to develop an alternative method for checking software code for plagiarism using abstract syntax trees. To achieve this, an analysis of existing modern methods of automatic comparison of original and modified program code for plagiarism detection was conducted, focusing on abstract syntax trees, approaches based on machine learning, and token-based analysis. Systems such as MOSS, JPlag, Codequiry, and Plaggie were reviewed. As a result o

APA, Harvard, Vancouver, ISO, and other styles

39

Enders, Walter, and Gary A. Hoover. "Whose Line Is It? Plagiarism in Economics." Journal of Economic Literature 42, no. 2 (2004): 487–93. http://dx.doi.org/10.1257/0022051041409066.

Full text

Abstract:

This paper reports the results of a survey regarding the instances of plagiarism reported by journal editors in the economics profession. The survey finds that nearly 24% of responding editors encounter one case of plagiarism in a typical year. In addition, the survey reveals that less than 19% of responding journals have a formal policy regarding plagiarism. Moreover, there is a great deal of variance in what is considered plagiarism and what an appropriate response to plagiarism should be. A majority of editors believe that the economics profession would benefit from a professional code of e

APA, Harvard, Vancouver, ISO, and other styles

40

Fadhillah, Yunus. "Pendeteksian Source Code Plagiarism Dengan Algoritma Rabin-Karp pada Online Judge." JUPITER : Journal of Computer & Information Technology 2, no. 1 (2021): 13–32. http://dx.doi.org/10.53990/jupiter.v2i1.38.

Full text

Abstract:

Sulitnya melakukan pengujian kebenaran source code dan pendeteksian source code plagiarism merupakan masalah – masalah yang melatarbelakangi pada penelitian ini. Algoritma pencocokan string merupakan algoritma utama yang diperlukan dalam pendeteksian source code plagiarism. Saat ini terdapat banyak algoritma pencocokan string yang ada, maka dari itu perlu dilakukan perbandingan dan pemilihan algoritma pencocokan string yang sesuai dengan kebutuhan yang ada Sedangkan untuk sistemnya, peneliti melakukan studi pustaka dan observasi langsung untuk mencari sistem pengujian source code yang sesuai.

APA, Harvard, Vancouver, ISO, and other styles

41

Nwohiri, Anthony, Opemipo JODA, and Olasupo Ajayi. "AI-POWERED PLAGIARISM DETECTION: LEVERAGING FORENSIC LINGUISTICS AND NATURAL LANGUAGE PROCESSING." FUDMA JOURNAL OF SCIENCES 5, no. 3 (2021): 207–18. http://dx.doi.org/10.33003/fjs-2021-0503-700.

Full text

Abstract:

Plagiarism of material from the Internet is nothing new to academia and it is particularly rampant. This challenge can range from borrowing a particularly apt phrase without attribution, to paraphrasing someone else’s original idea without citation, to wholesale contract cheating. Plagiarized content can infringe on copyright laws and could incur hefty fines on publishers and authors. Unintentional plagiarism mostly occurs due to inaccurate citation. Most plagiarism checkers ignore this fact. Moreover, plagiarizers are increasingly becoming negatively “smarter”. All these necessitate a plagiar

APA, Harvard, Vancouver, ISO, and other styles

42

Lancaster, Thomas, and Fintan Culwin. "A Comparison of Source Code Plagiarism Detection Engines." Computer Science Education 14, no. 2 (2004): 101–12. http://dx.doi.org/10.1080/08993400412331363843.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Ganguly, Debasis, Gareth J. F. Jones, Aarón Ramírez-de-la-Cruz, Gabriela Ramírez-de-la-Rosa, and Esaú Villatoro-Tello. "Retrieving and classifying instances of source code plagiarism." Information Retrieval Journal 21, no. 1 (2017): 1–23. http://dx.doi.org/10.1007/s10791-017-9313-y.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Daly, Charlie, and Jane Horgan. "A Technique for Detecting Plagiarism in Computer Code." Computer Journal 48, no. 6 (2005): 662–66. http://dx.doi.org/10.1093/comjnl/bxh139.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Duric, Z., and D. Gasevic. "A Source Code Similarity System for Plagiarism Detection." Computer Journal 56, no. 1 (2012): 70–86. http://dx.doi.org/10.1093/comjnl/bxs018.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Rasywir, Errissya, Yovi Pratama, and Fachruddin Fachruddin. "Eksperimen Pengujian Optimizer dan Fungsi Aktivasi Pada Code Clone Detection dengan Pemanfaatan Deep Neural Network (DNN)." Building of Informatics, Technology and Science (BITS) 4, no. 2 (2022): 405–12. http://dx.doi.org/10.47065/bits.v4i2.1776.

Full text

Abstract:

The problem of similarity (similarity) of program code can be one solution to the plagiarism detection approach. Plagiarism raises a form of action and consequences of plagiarism itself if the source used is not open source. Plagiarism is an act of deception of the work of others without the knowledge of the original author, which violates a Copyright and Moral Rights. With the increasing amount of data and data complexity, deep learning provides solutions for predictive analytics, with increased processing capabilities and optimal processor utilization. Deep learning shows success and improve

APA, Harvard, Vancouver, ISO, and other styles

47

Widaningrum, Ida, Dyah Mustikasari, Rizal Arifin, and Sugianti Sugianti. "A review of detection plagiarism in indonesian language." International Journal Artificial Intelligent and Informatics 1, no. 2 (2018): 65. http://dx.doi.org/10.33292/ijarlit.v1i2.27.

Full text

Abstract:

Plagiarism is the act of copying the work of another person in the form of writing, ideas, creative ideas or other without including the source of the work or idea. This action is of course very disrespectful, violates the code of ethics and is opposed by all parties, both by scientists and the government. This happens because the use of the internet provides unlimited information services. Many studies have been carried out, raising the theme of this plagiarism. This article will review how far the plagiarism research has been done on Indonesian writing. By knowing the development of plagiari

APA, Harvard, Vancouver, ISO, and other styles

48

Solomatin, D. I., M. E. Novotochinov, and E. N. Desyatirikova. "Detecting Similarity of Program Code Using an Aggregated Approach to the Problem of Plagiarism Detection." Programmnaya Ingeneria 15, no. 2 (2024): 97–104. http://dx.doi.org/10.17587/prin.15.97-104.

Full text

Abstract:

In this work, the primary strategies employed for code plagiarism were explored, alongside an analysis of prevalent methods for detecting copied content. Based on the results of the analysis of various approaches, as well as the analysis of the subject area itself and on the basis of the formulated requirements, a new System for automatically checking software similarity for plagiarism was successfully designed, implemented and tested. When developing the System, an aggregated approach was used, which made it possible to use several basic similarity detection algorithms. Namely, the Greedy Row

APA, Harvard, Vancouver, ISO, and other styles

49

Sun, Thurain Moe, Mar Soe Khin, and Than Nwe Than. "A proposed approach for plagiarism detection in Myanmar Unicode text." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 2 (2025): 1616–24. https://doi.org/10.11591/ijai.v14.i2.pp1616-1624.

Full text

Abstract:

Around the world, with technology that improves over time, almost everyone can access the internet easily and quickly. With the increase in the use of the internet, the plagiarism of information that is easily available on the internet has also increased. Such plagiarism seriously undermines originality and ethical principles. In order to prevent these incidents, there is plagiarism detection software for many countries and languages, but there is no plagiarism detection software for the Myanmar language yet. In an attempt to fill that gap, this study proposed a deep learning model with Rabin-

APA, Harvard, Vancouver, ISO, and other styles

50

Ohmann, Tony, and Imad Rahal. "Efficient clustering-based source code plagiarism detection using PIY." Knowledge and Information Systems 43, no. 2 (2014): 445–72. http://dx.doi.org/10.1007/s10115-014-0742-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!