SSID: A User-Centric Plagiarism Checking System By

ii Despite years of efforts, detecting plagiarism in programming assignments is still a difficult task for course instructors. Although many detection systems can compute the similarities between pairs of submissions and detect plagiarism clusters for an assignment, they do not provide sufficient information on how code is exchanged among students. More importantly, they do not provide enough information on how plagiarism takes place within a group of students over several assignments. In this project, I have designed and implemented a plagiarism detection system- Student Submissions Integrity Diagnosis (SSID). SSID provides visuals that can show information that ranges from a general overview of plagiarism clusters throughout all assignments in a course, to the top similar submissions on any specific student. Compared to existing systems like MOSS and JPlag, SSID prevents mismatches in code segments due to inappropriate selection of the first token in a match. More importantly, SSID allows instructors to indicate suspicious submission pairs and confirm plagiarized pairs. These will be automatically entered into SSID‟s logs and shared among all instructors