118 U 3329:10-06-26 3329:22-06-26 14:34:58.000 3329:10-06-26 utf8 0 Osu Text txt Computermedien c Online-Ressource cr 1972783831 10.25673/123848 KXP 1972783831 eng rda 2026 April 2026 http://dx.doi.org/10.25673/123848 R LF DE-Kt1 Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International CC BY-SA 4.0 Creative Commons https://creativecommons.org/licenses/by-sa/4.0/ Enhancing Web Test Automation Through Screenshot and Video-Based Execution Reporting Oleksii Cherkashyn Oleksii Cherkashyn VerfasserIn aut 2026 243-248 1 Online-Ressource (6 Seite) Enthalten in 1972669893 Oay Tfv3 gnd/1401799787 vie International Conference on Applied Innovations in IT 14. 2026 Köthen (Anhalt) Proceedings of the 14th International Conference on Applied Innovations in IT Koethen, Germany Edition Hochschule Anhalt 2026 202600000000000757 Automated web testing increasingly relies on comprehensive reporting mechanisms to facilitate bug reproduction and analysis. This study focuses on enhancing test automation through screenshot and video- based execution reporting using the WebdriverIO framework. The built-in method saveScreenshot was employed for capturing screenshots at each step of the test execution, while the Video Reporter library was used to record videos for failed tests. The study demonstrates that both GUI and headless modes of the Chrome browser do not affect the quality of screenshots and videos. Captured screenshots have an average size of approximately 61.5 KB to 136.9 KB, and videos range from 18.4 KB to 71.7 KB, making them suitable for execution on low-budget or resource-limited remote servers. Furthermore, with Jenkins supporting PNG screenshots and WEBM video playback, visual analysis can be performed directly within the CI/CD interface. The results confirm that the visual quality of both screenshots and video recordings is sufficient to identify the exact point of test failure and to reproduce the corresponding bugs, providing practical guidance for improving test reporting and debugging in automated web testing environments. 118 PICA 22-06-26 22-06-26 14:34:58.000 utf8 22-06-26 4281 3329 4980209793 22-06-26 x1 OLR-HSA 00 http://dx.doi.org/10.25673/123848 OPEN ACCESS PEER REVIEW