VRTest
Xiaoyin Wang
Abstract
Virtual Reality (VR) is an emerging technique that attracts interest from various application domains such as training, education, remote communication, gaming, and navigation. Despite the ever growing number of VR software projects, the quality assurance techniques for VR software has not been well studied. Therefore, the validation of VR software largely rely on pure manual testing. In this paper, we present a novel testing framework called VRTest to automate the testing of scenes in VR software. In particular, VRTest extracts information from a VR scene and controls the user camera to explore the scene and interact with the virtual objects with certain testing strategies. VRTest currently supports two built-in testing strategies: VRMonkey and VRGreed, which use pure random exploration and greedy algorithm to explore interact-able objects in VR scenes. The video of our tool is available on Youtube at https://www.youtube.com/watch?v=TARqTEaa7_Q