On the Use of Discretized Source Code Metrics for Author Identification

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Executive Summary

Intellectual property infringement and plagiarism litigation involving source code would be more easily resolved using code authorship identification tools. Previous efforts in this area have demonstrated the potential of determining the authorship of a disputed piece of source code automatically. This was achieved by using source code metrics to build a database of developer profiles, thus characterizing a population of developers. These profiles were then used to determine the likelihood that the unidentified source code was authored by a given developer. In this paper, the authors evaluate the effect of discretizing source code metrics for use in building developer profiles.

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