期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2013
卷号：4
期号：4
页码：564-568
出版社：TechScience Publications
摘要：Today the field of software is facing the problem of software theft on a major scale. Also it has many more challenges in front such as plagiarism detection, copyright disputes, piracies and legal allegations. In most of the cases, lack of strong evidences is the only issue to resolve the problems. So in such cases how to resolve the problem is the question? The field called as author identification helps us to resolve these kinds of problems. The field leads in the right direction to find the closest author of the source code under the above discussed problems. This field has many different methods to find the likely author. But, the one used in this paper is stylometry. The stylometry means the study of linguistic styles of the author of the code. So, the method involves capturing the writing styles of code of the known authors and based on these precaptured styles the codes to be tested are classified to their respected authors. The study involves 9 different metrics for a software source code. The sample source codes are obtained from different sources such as educational assignments of students, code snippets of study books and open source projects of some developers. The study is carried out on 1500 sample source codes providing 102621 lines of codes to be scanned.
