VRTest: An Extensible Framework for Automatic Testing of Virtual Reality Scenes

被引:0
作者
Wang, Xiaoyin [1 ]
机构
[1] Univ Texas San Antonio, San Antonio, TX 78249 USA
来源
2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2022) | 2022年
关键词
Software Testing; Virtual Reality; Scene Exploration;
D O I
10.1145/3510454.3516870
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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
引用
收藏
页码:232 / 236
页数:5
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