Plagiarism in programming courses is a pervasive and frustrating problem that undermines the educational process. Often plagiarism falls in the gray area separating profitable peer-peer collaboration, excessive dependence on others, and outright cheating. Unless the evidence is compelling, pursuing suspected plagiarism is generally not worth the emotional and legal risks to student and teacher ...

Plagiarism sometimes creates legal and ethical problems for students and faculty. It can have serious consequences. Fortunately, there are ways to stop plagiarism. There are many tools available to detect plagiarism, e.g. using software for detecting submitted articles. Also, there are many ways to punish a plagiarist, e.g. banning plagiarists from submitting future articles for publication. In...

The availability and use of computers in teaching has seen an increase in the rate of plagiarism among students because of the wide availability of electronic texts online. While computer tools that have appeared in the recent years are capable of detecting simple forms of plagiarism, such as copy-paste, a number of recent research studies devoted to evaluation and comparison of plagiarism dete...

Plagiarism is a common place in academics, especially in courses involving programming. In this paper, XPDec, an XML-based model is introduced to detect similarities among programs that arise under plagiarism. Based upon the syntax of a specific programming language, XPDec uses an XML scheme that is suitable for the detection of plagiarism. XML documents are generated from given program sources...

Plagiarism is a widespread problem in assessment tasks; in computing courses, students often plagiarise source code. For all but the smallest classes, manual detection of such plagiarism is impractical, and, while automated tools are available, none has been applied to detect inter-lingual plagiarism, where source code is copied from one language to another. In this work, we propose a novel app...

This paper aims to explain the performance of plagiarism detection system which can detect External as well as Intrinsic Plagiarism in text. It reports the results on PAN-PC-2011 test corpus. We investigated Vector Space Model based techniques for detecting external plagiarism cases and discourse markers based features to detect intrinsic plagiarism cases.

There are increasingly plagiarism offences for students in higher education in the digital educational world. On the other hand, various and competitive online assessment and plagiarism detection tools are available in the market. Taking the University of Glamorgan as a case study, this paper describes and introduces an institutional journey on electronic plagiarism detection to inform the init...

Sir, the recent article on “Plagiarism in Scientific Publishing” by Masic is very interesting [1]. Masic described cases of plagiarism and concluded that “There is a dilemma: who, on what basis (criteria, standards, rules), when and how should declare someone a plagiarist [1]” and also mentioned for the importance of informatics tool to determine plagiarism. Indeed, it is the role of the journa...

ABSTRACT: The copying of programming assignments is a widespread problem in academic institutions. Manual plagiarism detection is time-consuming, and current popular plagiarism detection systems are not scalable to large code repositories. While there are text-based plagiarism detection systems capable of handling millions of student papers, comparable systems for codebased plagiarism detection...

Currently used Plagiarism Detection Systems solely rely on textbased comparisons. They only deliver satisfying results if the plagiarized text is copied literally (copy&paste), with minor alterations (e.g. shake&paste) or is machine translated. However, if the text is paraphrased or translated by a human, the currently used methods yield a very poor performance. Using the words of Weber Wulff, ...