Programming style authorship analysis

Authors:
P. W. Oman;C. R. Cook
Affiliations:
Computer Science Department, University of Idaho, Moscow, Idaho;Computer Science Department, Oregon State University, Corvallis, Oregon
Venue:
CSC '89 Proceedings of the 17th conference on ACM Annual Computer Science Conference
Year:
1989

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Abstract

Detecting instances of software theft and plagiarism is a difficult problem. The statistical analysis of peculiar words or phrases known to be used by an author is a common method of settling authorship disputes in English literature. This paper presents a similar method for identifying authorship of programs. The method is based on typographic or layout style program characteristics. Our experiments show that these characteristics can be useful in determining authorship. The major benefits of the method are that it is simple, easy to automate, and can be used in conjunction with other program fingerprinting methodologies.