This came from a discussion with Annick, Rien and Pieter:
With plagiarism detection you can only detect similarity between code (either inside Dodona or available on the Internet). In fraud detection this still doesn't exclude that a user received external help (e.g. during an online test/exam). Therefore it would be interesting if we could extract an author signature from the submission history of a user and then detect deviations from the signature: within the timeline of submissions of a user for a single exercise (e.g. at some point the student got a solution from someone else) or within the timeline of all submissions of a user.
This issue collects some ideas and literature found around this topic.
This came from a discussion with Annick, Rien and Pieter:
This issue collects some ideas and literature found around this topic.