Plagiarism detection in software designs

Authors:
B. Belkhouche;Anastasia Nix;Johnette Hassell
Affiliations:
Tulane University, New Orleans, LA;Tulane University, New Orleans, LA;Tulane University, New Orleans, LA
Venue:
ACM-SE 42 Proceedings of the 42nd annual Southeast regional conference
Year:
2004

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Abstract

Detecting plagiarism in software is a computationally complex process. At the same time it is critical, for the lack of a deterrent through detection may result in various losses. Several systems to detect plagiarism have been proposed. However, their lexically-based analysis is not powerfull enough and can be foiled with minimal efforts. To address their shortcomings, we have devised a detection framework with the following salient features: (1) designs, instead of code, are compared; (2) multi--level abstractions of the design are generated; and (3) comparison follows a stepwise process according to the abstraction levels. A comparison with existing systems shows that this strategy results in simpler algorithms and more accurate analyses.