Identification of program similarity in large populations
The Computer Journal - Special issue on procedural programming
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
Sim: a utility for detecting similarity in computer programs
SIGCSE '99 The proceedings of the thirtieth 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
An algorithmic approach to the detection and prevention of plagiarism
ACM SIGCSE Bulletin
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
A logic programming approach to knowledge-state planning, II: the DLVk system
Artificial Intelligence
A Survey of Longest Common Subsequence Algorithms
SPIRE '00 Proceedings of the Seventh International Symposium on String Processing Information Retrieval (SPIRE'00)
Plagiarism detection across programming languages
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
Enhancing Computer-Aided Plagiarism Detection
Enhancing Computer-Aided Plagiarism Detection
The Second Answer Set Programming Competition
LPNMR '09 Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning
Hi-index | 0.00 |
Plagiarism detection is a growing need among educational institutions and solutions for different purposes exist. An important field in this direction is detecting cases of source-code plagiarism. In this paper, we present the tool Kato for supporting the detection of this kind of plagiarism in the area of answer-set programming (ASP). Currently, the tool is implemented for DLV programs but it is designed to handle other logic-programming dialects as well. We review the basic features of Kato, introduce its theoretical underpinnings, and discuss an application of Kato for plagiarism detection in the context of courses on logic programming at the Vienna University of Technology.