YerbaPage/DetectCodeGPT

Detection of LLM-Generated Codes [ICSE2025]

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Emerging

This project helps software engineering researchers and practitioners identify if a piece of code was written by a human or generated by an AI model. It takes code snippets as input and outputs a classification indicating whether the code is human-written or machine-generated. This is useful for researchers studying AI's impact on code quality or for practitioners needing to verify code origins.

No commits in the last 6 months.

Use this if you need to reliably distinguish between human-written and AI-generated code snippets in your research or code analysis tasks.

Not ideal if you are looking for a tool to generate code, refactor code, or perform static code analysis unrelated to AI detection.

software-engineering-research code-analysis AI-generated-code plagiarism-detection code-quality-assurance
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

31

Forks

5

Language

Python

License

MIT

Last pushed

Jul 05, 2025

Commits (30d)

0

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