An algorithmic approach to the detection and prevention of plagiarism
ACM SIGCSE Bulletin
Visualising Intra-Corpal Plagiarism
IV '01 Proceedings of the Fifth International Conference on Information Visualisation
Proceedings of the 36th SIGCSE technical symposium on Computer science education
Methods and tools for exploring novice compilation behaviour
Proceedings of the second international workshop on Computing education research
Measuring text similarity with dynamic time warping
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Towards the validation of plagiarism detection tools by means of grammar evolution
IEEE Transactions on Evolutionary Computation
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Journal of Web Engineering
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For decades many computing departments have deployed systems for the detection of plagiarised student source code submissions. Automated systems to detect free-text student plagiarism are just becoming available and the experience of computing educators is valuable for their successful deployment.This paper describes a Four-Stage Plagiarism Detection Process that attempts to ensure no suspicious similarity is missed and that no student is unfairly accused of plagiarism. Required characteristics of an effective similarity detection engine are proposed and an investigation of a simple engine is described. An innovative prototype tool designed to decrease the workload of tutors investigating undue similarity is also presented.