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How to Cite
Chaikovskyi M. A., Malakhov E. V. Improving Software Development Quality Assurance Process with Computer Vision Techniques. Збірник праць ХX Міжнародної наукової конференції 'Сучасні досягнення в науці та освіті', 18–25 вересня 2025 р., м. Нетанія, Ізраїль. Хмельницький: ХНУ, 2025, c. 79-82AbstractIn 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.