Back to search

Article

An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We?

2025-04-30

Abstract excerpt

Artificial Intelligence (AI) techniques, especially Large Language Models (LLMs), have started gaining popularity among researchers and software developers for generating source code. However, LLMs have been shown to generate code with quality issues and also incurred copyright/licensing infringements. Therefore, detecting whether a piece of source code is written by humans or AI has become necessary. This study f...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f164c8de-2a58-571a-aa72-eea31221bf78
DOI
10.32388/sbl97o
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We?DOI 10.32388/sbl97o
Select a neighboring publication to make it the new centre.