Year: 2014
Type: conference-paper
Abstract: Plagiarism is a major problem in every discipline and Computer Science courses are no\ndifferent. It is very common for students to submit their peers programming assignment\nas their own. This practice is unfair and also halts the learning process of the students\nwho choose to copy.\nThis research investigates the performance of various plagiarism detection tools like\nMOSS, JPlag and Plaggie2 . Controlled changes were made to a code file, and the\nsensitiveness of the various tools to those changes were determined. Plaggie2 with its\nalgorithm of tokenization followed by string comparison was found to have acceptable\nperformance for our tests. It is also open source whereas the other tools are proprietary\nand web based. Therefore Plaggie2 was incorporated with Web-CAT.\nWeb-CAT is a flexible, automated grading system designed to process computer programming\nassignments. It serves as a learning environment for software testing tasks\nand helps automatically assess student assignments. The developed system was tested\nby a variety of potential future users in a number of tests and the feedback received\nwas very positive. In addition the tests presented us with a number of possible future\nenhancements.
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W560609574