2025 AI/ML Preprint

Harnessing the Power of Large Language Models for Software Testing Education: A Focus on ISTQB Syllabus

Tuan-Phong Ngo, Bao-Ngoc Duong, Tuan-Anh Hoang, et al., Ushik Shrestha Khwakhali

arXiv preprint

View Paper

Abstract

Investigates how large language models can support software testing education aligned with the International Software Testing Qualifications Board (ISTQB) certification syllabus, examining model performance across cognitive levels of exam questions.

Keywords

Large Language ModelsSoftware TestingISTQBAI in Education

APA-style Citation

Tuan-Phong Ngo, Bao-Ngoc Duong, Tuan-Anh Hoang, et al., Ushik Shrestha Khwakhali (2025). Harnessing the Power of Large Language Models for Software Testing Education: A Focus on ISTQB Syllabus. arXiv preprint.

BibTeX

@misc{Ngo2025llms,
  author    = {Tuan-Phong Ngo and Bao-Ngoc Duong and Tuan-Anh Hoang and Ushik Shrestha Khwakhali},
  title     = {Harnessing the Power of Large Language Models for Software Testing Education: A Focus on ISTQB Syllabus},
  year      = {2025},
  note      = {arXiv preprint},
  url       = {https://www.researchgate.net/publication/396967749_Harnessing_the_Power_of_Large_Language_Models_for_Software_Testing_Education_A_Focus_on_ISTQB_Syllabus}
}