Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features

Detection of GenAI-produced and student-written C# code: A comparative study of classifier algorithms and code stylometry features

The prevalence of students using generative artificial intelligence (GenAI) to produce program code is such that certain courses are rendered ineffective because students can avoid learning the required skills. Meanwhile, detecting GenAI code and differentiating between GenAI-produced and human-wri...

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Bibliographic Details
Main Authors: Adewuyi Adetayo Adegbite, Eduan Kotzé
Format: Article
Language:English
Published: LINK Centre, School of Literature Language and Media (SLLM) 2025-07-01
Series:The African Journal of Information and Communication
Subjects:
C# code, generative AI (GenAI) code, student-written code, machine-learning, code classification, code stylometry features
Online Access:https://ajic.wits.ac.za/article/view/21309
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https://ajic.wits.ac.za/article/view/21309

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