YAP3: improved detection of similarities in computer program and other texts
SIGCSE '96 Proceedings of the twenty-seventh SIGCSE technical symposium on Computer science education
Metrics based plagarism monitoring
CCSC '01 Proceedings of the sixth annual CCSC northeastern conference on The journal of computing in small colleges
Winnowing: local algorithms for document fingerprinting
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
GPLAG: detection of software plagiarism by program dependence graph analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Plagiarism detection across programming languages
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
PDetect: A Clustering Approach for Detecting Plagiarism in Source Code Datasets
The Computer Journal
Efficient plagiarism detection for large code repositories
Software—Practice & Experience
Plaggie: GNU-licensed source code plagiarism detection engine for Java exercises
Proceedings of the 6th Baltic Sea conference on Computing education research: Koli Calling 2006
Shared information and program plagiarism detection
IEEE Transactions on Information Theory
Research paper: Plagiarism Detection for Haskell with Holmes
Proceedings of the 3rd Computer Science Education Research Conference on Computer Science Education Research
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In this paper we compare five tools for detecting plagiarism in Java source code texts: JPlag, Marble, moss, Plaggie, and sim. The tools are compared with respect to their features and performance. For the performance comparison we carried out two experiments: to compare the sensitivity of the tools for different plagiarism techniques we have applied the tools to a set of intentionally plagiarised programs. To get a picture of the precision of the tools, we have run the tools on several incarnations of a student assignment and compared the top 10's of the results.