Detection of similarities in student programs: YAP'ing may be preferable to plague'ing
SIGCSE '92 Proceedings of the twenty-third SIGCSE technical symposium on Computer science education
Plagiarism in computer science courses
ECA '94 Proceedings of the conference on Ethics in the computer age
Teaching ethical issues in computer science: what worked and what didn't
SIGCSE '96 Proceedings of the twenty-seventh SIGCSE technical symposium on Computer science education
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
Communications of the ACM
Grading student programs - a software testing approach
CCSC '00 Proceedings of the fourteenth annual consortium on Small Colleges Southeastern conference
Preventing plagiarism in computer literacy courses
Journal of Computing Sciences in Colleges
Desktop tools for offline plagiarism detection in computer programs
Informatics in education
Plagiarism detection across programming languages
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
PDE4Java: Plagiarism Detection Engine for Java source code: a clustering approach
International Journal of Business Intelligence and Data Mining
Application of Information Retrieval Techniques for Source Code Authorship Attribution
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
Plagiarism detection in game-playing software
Proceedings of the 4th International Conference on Foundations of Digital Games
The system kato: Detecting cases of plagiarism for answer-set programs
Theory and Practice of Logic Programming
Plagiarism detection for Java: a tool comparison
Computer Science Education Research Conference
Hi-index | 0.00 |
Plagiarism in programming courses is a pervasive and frustrating problem that undermines the educational process. Defining plagiarism is difficult because of the fuzzy boundary between allowable peer-peer collaboration and plagiarism. Pursuing suspected plagiarism has attendant emotional and legal risks to the student and teacher, with the teacher bearing the burden of proof. In this paper we present a metrics-based system for monitoring similarities between programs and for gathering the “preponderance” of evidence needed to pursue suspected plagiarism. Anonymous results from monitoring are posted to create a climate in which the issue of plagiarism is discussed openly.