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Title:CoMoTo: the collaboration modeling toolkit
Author(s):Meyer, Charles
Advisor(s):Kamin, Samuel N.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Similarity Detection
Source Code Analysis
Collaboration Modeling Toolkit (CoMoTo)
Abstract:This thesis introduces CoMoTo - the Collaboration Modeling Toolkit - a web-based application that expands and enhances well-known software similarity detection system. CoMoTo is an end-to-end data management, analysis, and visualization system intended to assist instructors of programming courses to monitor student collaboration, both licit and illicit. In this thesis, I will first discuss two use cases that foreshadow CoMoTo's broad utility in student code analysis, not only for plagiarism detection, but also for investigating early student coding styles, and for evaluating software similarity detection systems, themselves. I will then present a case study in which the MOSS similarity detection system was used to examine student source code in an introductory data structures course. Next, CoMoTo's interface will be discussed, which was designed to facilitate scrutiny of collaboration data projected along student, course, assignment, etc. attributes, and touch on the interactive visualization of pairwise similarity measures via a dynamic graph. Lastly, I also elaborate on the details of CoMoTo's implementation and give a developers guide for future maintenance on the project.
Issue Date:2012-09-18
Rights Information:Copyright 2012 Charles Meyer
Date Available in IDEALS:2012-09-18
Date Deposited:2012-08

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