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The Student Submissions Integrity Diagnosis System (SSID) is designed to assist instructors in identifying instances of plagiarism in submitted source code. With a user-friendly interface, SSID employs a state-of-the-art algorithm to accurately detect code similarities, effectively countering common student obfuscation techniques. Supporting Java, C++, C, and Python, the system visualizes clusters of similar submissions and provides management features for courses and users. Enhance academic integrity in programming courses with SSID's comprehensive tools for automatic plagiarism detection and student tracking.
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Student Submissions Integrity Diagnosis System (SSID) Min-Yen Kan
Purpose • Aid instructors in identifying instances of plagiarism in submitted source code
Means • Through an easy-to-use, yet accurate and effective tool
Key Features • State-of-the-art algorithm for detecting code similarities • Defeats many common student obfuscation tricks • Supports 4 languages currently • Java, C++, C, Python • Data Visualization • Easily spot clusters of students who share similar code • Easy to use web interface • Course management, user management