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Title:
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IMPROVING THE BURROWS METHOD OF SOURCE CODE AUTHORSHIP ATTRIBUTION |
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Author(s):
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Matthew F. Tennyson, Francisco J. Mitropoulos |
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ISBN:
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978-989-8533-20-3 |
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Editors:
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Hans Weghorn |
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Year:
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2013 |
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Edition:
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Single |
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Keywords:
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Authorship attribution, software forensics, plagiarism detection, information retrieval |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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9 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Authorship attribution of source code is the task of determining who wrote a piece of software, based on its source code, when the author is not explicitly known. Applications include software forensics, plagiarism detection, and determining software ownership. One effective method of source code authorship attribution is the Burrows method. In this paper, an improved Burrows method is presented. Specifically, the set of features used to represent programs and the similarity metric were updated. In an empirical study, the improved method successfully attributed 93.7% of documents, compared to 88.9% attributed by the baseline |
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