منابع مشابه
A Study of Self-Plagiarism in Computer Science
We present a web spider that crawls through the web sites of the top fifty Computer Science departments, downloading research papers to search for instances of self-plagiarism by Computer Science professors. Instances of self-plagiarism for each author are reported so that they may be investigated in order to determine if they are truly fraudulent papers.
متن کاملCollaboration, Collusion and Plagiarism in Computer Science Coursework
We present an overview of the nature of academic dishonesty with respect to computer science coursework. We discuss the efficacy of various policies for collaboration with regard to student education, and we consider a number of strategies for mitigating dishonest behaviour on computer science coursework by addressing some common causes. Computer science coursework is somewhat unique, in that t...
متن کاملDetection of Simple Plagiarism in Computer Science Papers
Plagiarism is the use of the language and thoughts of another work and the representation of them as one's own original work. Various levels of plagiarism exist in many domains in general and in academic papers in particular. Therefore, diverse efforts are taken to automatically identify plagiarism. In this research, we developed software capable of simple plagiarism detection. We have built a ...
متن کاملUsing Visualization to Detect Plagiarism in Computer Science Classes
This paper introduces a number of general methods for visualizing commonality in sets of text files. Each visualization simultaneously compares one file in the set to all other files in the set. These visualizations, which can be computed in O(n) time and space, are explained and then applied to the problem of detecting plagiarism in large computer science classes. A case study is presented and...
متن کاملHow do Master Level Students in Computer Science Perceive Plagiarism?
Plagiarism is a serious problem in computer science. This paper reports the analyses of data about plagiarism that was gathered from master level students in computing. We have identified how students perceive plagiarism, how they choose to respond when faced by a scenario involving plagiarism, and what drives them to take a particular stance or adopt an action. The data-driven analyses show co...
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ژورنال
عنوان ژورنال: Communications of the ACM
سال: 2005
ISSN: 0001-0782,1557-7317
DOI: 10.1145/1053291.1053293