About this document
Metrics for Detecting Programming Plagiarism by Emil Stankov is a document available to read on EtoBox.
The document describes a metrics-based system for monitoring plagiarism in programming courses. It presents three program profiles - physical, Halstead, and composite - that characterize programs based on attributes like lines of code, words, and token frequencies. Closeness between programs is calculated as the normalized Euclidean distance between their profiles. This provides a measure for detecting plagiarism while being robust against common transformations like changing identifiers or comments. Sample
- Author
- Emil Stankov
- Language
- EN