View Proposal


Proposer
Jurriaan Hage
Title
Program plagiarism benchmarks for language X
Goal
To collect suitable annotated benchmarks for the empirical validation of the quality of program plagiarism detection tools
Description
To enable, for example, machine learning based approaches to program plagiarism detection we are in need of sizable collections of plagiarism cases (among cases that are not). The research involves coming up with ways of arriving at such sets with as little effort as possible. This project can be done for various different technologies, depending on the student (typically, Java, Python or Haskell, but others are of interest too).
Resources
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
4
Supervisor
Jurriaan Hage
Keywords
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Artificial Intelligence with SMI
Master of Science in Computer Science for Cyber Security
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Network Security
Master of Science in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Science in Computer Science (Cyber Security)