Improving Software Development Quality Assurance Process with Computer Vision Techniques

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dc.contributor.authorChaikovskyi, M.A.
dc.contributor.authorMalakhov, E.V.
dc.date.accessioned2025-10-06T19:33:10Z
dc.date.available2025-10-06T19:33:10Z
dc.date.issued2025-09
dc.description.abstractIn 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.
dc.description.sponsorshipХмельницька обласна організація СНІО України
dc.identifier.citationChaikovskyi 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.
dc.identifier.urihttps://elar.khmnu.edu.ua/handle/123456789/19590
dc.language.isoen
dc.publisherKhmelnytskyi National University
dc.subjectsoftware testing
dc.subjectcomputer vision
dc.subjectGUI automation
dc.titleImproving Software Development Quality Assurance Process with Computer Vision Techniques
dc.title.alternativeImproving Software Development Quality Assurance Process with Computer Vision Techniques
dc.typeСтаття
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Сучасні досягнення в науці та освіті - 2025