Chaikovskyi, M.A.Malakhov, E.V.2025-10-062025-10-062025-09Chaikovskyi 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.https://elar.khmnu.edu.ua/handle/123456789/19590In 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.ensoftware testingcomputer visionGUI automationСтаття