International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Optimizing Cross Platforms Regression Testing For VR Applications

Author(s) Komal Jasani
Country United States
Abstract Performing optimal regression tests across platforms remains crucial for providing uniform performance and functionality between Oculus devices with HTC Vive and PlayStation VR. The research investigates three main approaches, including automation along with compatibility frameworks and AI-based testing, which help solve performance variability challenges coupled with hardware fragmentation issues. Developers who use Unity Test Framework alongside Unreal Engine’s Automation Tool shorten testing periods while increasing precision besides boosting user experience. Future directions for VR-specific testing emerge from the present analysis, which reveals existing practice shortcomings while identifying metrics to reduce latency and stop motion sickness to reach more immersive experiences.
Keywords Cross-Application Testing, Virtual Reality, Applications Of Virtual Reality, Testing Efficiency Improvement, VR Hardware Compatibility
Field Engineering
Published In Volume 2, Issue 6, November-December 2020
Published On 2020-12-03
DOI https://doi.org/10.36948/ijfmr.2020.v02i06.38537
Short DOI https://doi.org/

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