Abstract: Virtual reality (VR) offers unprecedented user experiences across diverse areas. However, few studies have focused on code clone in VR software, though it is a significant factor in the emergence and spread of security vulnerabilities in open-source software. In this work, we conduct the first extensive quantitative empirical analysis of code clone in open-source VR software. We create a dataset of 83 open-source VR projects sourced from GitHub and propose to use multiple metrics to facilitate quantitative analysis. Using the NiCad code clone detection tool, we provide a thorough analysis of code clone in our dataset to tackle five meticulously crafted research questions. Our analysis of the experimental results reveals various insights, enhancing our understanding of VR software and paving the way for future research endeavors.
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