LLMs Still Can't Avoid Instanceof: An Investigation Into GPT-3.5, GPT-4 and Bard's Capacity to Handle Object-Oriented Programming Assignments

Large Language Models (LLMs) have emerged as promising tools to assist students while solving programming assignments. However, object-oriented programming (OOP), with its inherent complexity involving the identification of entities, relationships, and responsibilities, is not yet mastered by these...

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Veröffentlicht in:	IEEE/ACM International Conference on Software Engineering: Software Engineering Education and Training (Online) S. 162 - 169
Hauptverfasser:	Cipriano, Bruno Pereira, Alves, Pedro
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 14.04.2024
Schlagworte:	bard Codes Complexity theory gpt-3 gpt-4 large language models Object oriented modeling Object oriented programming Object recognition object-oriented design OOP best practices programming assignments Programming profession teaching Training
ISSN:	2832-7578
Online-Zugang:	Volltext
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