Process Model Improvement for Source Code Plagiarism Detection in Student Programming Assignments

Process Model Improvement for Source Code Plagiarism Detection in Student Programming Assignments

In programming courses there are various ways in which students attempt to cheat. The most commonly used method is copying source code from other students and making minimal changes in it, like renaming variable names. Several tools like Sherlock, JPlag and Moss have been devised to detect source code plagiarism. However, for larger student assignments and projects that involve a lot of source ...

Plagiarism Detection in Source Code

Online detection of source-code plagiarism in undergraduate programming courses

Plagiarism in programming courses has increased in recent years. Therefore, courses need to be adapted in concept and organization. A relentless pursuit of plagiarizing or the ineffective attempt to completely suppress all communication in the classroom are certainly as inadequate approaches as the installation of an offline plagiarism detection tool without a proper feedback mechanism for the ...

Plagiarism in Programming Assignments

Assessment of programming courses is usually carried out by means of programming assignments. Since it is simple to copy and edit computer programs, however, there will always be a temptation among some students following such courses to copy and modify the work of others. As the number of students in these courses is often high, it can be very difficult to detect this plagiarism. We have devel...

Plagiarism Detection in Programming Assignments Using Deep Features

This paper proposes a method for detecting plagiarism in source-codes using deep features. The embeddings for programs are obtained using a character-level Recurrent Neural Network (char-RNN), which is pre-trained on Linux Kernel source-code. Many popular plagiarism detection tools are based on n-gram techniques at syntactic level. However, these approaches to plagiarism detection fail to captu...