Web-Based Similarity Detector for Identifying Programming Plagiarism

To deal with programming plagiarism, a number of similarity detectors have been developed. However, many of them are either not user-friendly or require local installation. We present a web-based similarity detector that is user-friendly and requires no local installation. The detector is expanded from our previous work, whose performance has been proven. Unlike existing web-based similarity detectors, ours is not commercialized. Further, it offers several similarity measurements and enhanced privacy. According to a controlled experiment with 24 tutors or staff, our similarity detector is effective and efficient. Participants with the detector can identify all copied submissions in which the completion time is reduced by at least two-thirds.