Exploring the Integration of Generative AI Tools in Software Testing Education: A Case Study on ChatGPT and Copilot for Preparatory Testing Artifacts in Postgraduate Learning
Software testing education is important for building qualified testing professionals. To ensure that software testing graduates are ready for real-world challenges, it is necessary to integrate modern tools and technologies into the curriculum. With the emergence of Large Language Models (LLMs), the...
Saved in:
| Main Authors: | Susmita Haldar, Mary Pierce, Luiz Fernando Capretz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10904141/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparative analysis of AI chatbot (ChatGPT-4.0 and Microsoft Copilot) and expert responses to common orthodontic questions: patient and orthodontist evaluations
by: Farhad Salmanpour, et al.
Published: (2025-06-01) -
Brush, byte, and bot: quality comparison of artificial intelligence-generated pediatric dental advice across ChatGPT, Gemini, and Copilot
by: Deepika Kapoor, et al.
Published: (2025-08-01) -
Large language models’ capabilities in responding to tuberculosis medical questions: testing ChatGPT, Gemini, and Copilot
by: Meisam Dastani, et al.
Published: (2025-05-01) -
ChatGPT-4 Omni’s superiority in answering multiple-choice oral radiology questions
by: Melek Tassoker
Published: (2025-02-01) -
GETTING SUPPORT FROM MICROSOFT COPILOT IN LESSON PLAN PREPARATION: PRE-SERVICE TEACHERS’ EXPERIENCES AND OPINIONS
by: Serpil Özdemir
Published: (2024-12-01)