Plagiarism Detection for Java']Java Programs without Source Codes

被引：10
|
作者：
Anjali, V [1 ]
Swapna, T. R. [1 ]
Jayaraman, Bharat [2 ]
机构：
[1] Amrita Vishwa Vidyapeetham, Dept Comp Sci & Engn, Coimbatore 641112, Tamil Nadu, India
[2] SUNY Buffalo, Dept Comp Sci & Engn, Buffalo, NY 14260 USA
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, ICICT 2014 | 2015年 / 46卷
关键词：
Software plagiarism; dynamic analysis; call trees; key variables;
D O I：
10.1016/j.procs.2015.02.143
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a novel dynamic analysis approach to software plagiarism detection. Such an approach is inherently more resilient to code obfuscation techniques such as renaming of program entities, reordering of statements, etc. We develop our technique in the context of a dynamic analysis and visualization system for Java, called JIVE, but the techniques are applicable to other object-oriented languages. Our analyses are based on the execution traces of Java programs (produced by JIVE), and our experimental results confirm that this approach is both efficient and effective in detecting plagiarism of Java programs when their source codes are not available. (C) 2015 Published by Elsevier B.V.
引用
收藏
页码：749 / 758
页数：10
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