Overcoming VR Test Automation Challenges and Best Practices

Author(s)	Komal Jasani
Country	United States
Abstract	Virtual Reality (VR) applications today are becoming diverse and relatively large and hence need viable testing strategies and approaches. The reason is that traditional manual testing practices are slow, static, and non-interactive, failing to address the challenges associated with testing VR systems. Nevertheless, the automation of tests in the VR environment is very challenging since HCI complexity, motion tracking, and hardware variations exist, and there is little provision for frameworks. The general problem in this paper is to outline the main difficulties of VR test automation and suggest their solutions. They include VRTest and Youkai, as well as the approaches that can be used in them, like AI-test automation, AV testing, and cross-platform solutions for testing. Moreover, it describes the importance of machine learning within testing, particularly regarding test cases and performance evaluation benchmarks. Considering these issues and their solutions, the following points can be concluded: By integrating these points of the best practices, developers contribute to increasing the stability and efficiency of the testing of VR software and, therefore, the overall quality of the application the consumer uses.
Keywords	-
Field	Engineering
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-12-04
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.38538
Short DOI	https://doi.org/g88hb2

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International Journal For Multidisciplinary Research