Improving Software Development Quality Assurance Process with Computer Vision Techniques
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Дата
2025-09
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Видавець
Khmelnytskyi National University
Анотація
In the evolving landscape of software engineering, quality assurance (QA) has become increasingly challenging due to the complexity of graphical user interfaces (GUIs), the rapid iteration of user-centric applications, and the limitations of manual and code-based testing frameworks. This paper investigates how computer vision (CV) techniques can improve QA processes by introducing visual-level automation and perception-based testing strategies. Drawing from key studies, this work highlights the achievements and future potential of CV-powered approaches in GUI testing, automated validation, and intelligent interaction with software systems.
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Ключові слова
software testing, computer vision, GUI automation
Бібліографічний опис
Chaikovskyi M. A., Malakhov E. V. Improving Software Development Quality Assurance Process with Computer Vision Techniques // Modern Advances in Science and Education: Proceedings of the 20th International Scientific Conference, September 18–25, 2025, Netanya (Israel). Khmelnytskyi: KhNU, 2025. P. 79-82.