...
首页> 外文期刊>Software Testing, Verification and Reliability >An automated functional testing approach for virtual reality applications
【24h】

An automated functional testing approach for virtual reality applications

机译:虚拟现实应用程序的自动化功能测试方法

获取原文
获取原文并翻译 | 示例
           

摘要

Software testing is regarded as an important method for fault revealing. Despite this advantage, it has been poorly used within the scope of virtual reality (VR) applications because they are highly complex and have peculiar features. Most testing performed of this VR applications are usability, which is conducted manually and only at final of the development process. Although some works try to propose criteria for this domain, there are no approaches that automatize the generation of test data from requirements specification in the VR domain. This paper proposes an approach called virtual reality-requirements specification and testing (VR-ReST) to assist the requirements specification through a semiformal language and uses structural test criteria to generate test requirements and test data automatically for VR applications using scene graph concepts. The paper also examines the empirical results concerning the cost-effectiveness of the approach for three different VR applications through two experiments. Mutation testing was used to evaluate effectiveness. We found that the approach achieved a high mutation score outperforming random testing, by 20%, on average. Our results also demonstrate that the approach is promising since it assists in writing and validating the requirements, as well as in reducing the risks of requirement specification by adopting a semiformal language.
机译:软件测试被认为是发现故障的重要方法。尽管具有此优点,但由于它们非常复杂且具有特殊功能,因此在虚拟现实(VR)应用程序范围内的使用率很低。此VR应用程序执行的大多数测试都是可用性,这是手动进行的,并且仅在开发过程的最后进行。尽管一些工作试图提出针对该领域的标准,但是没有方法可以自动根据VR领域的需求规范生成测试数据。本文提出了一种称为虚拟现实需求规范和测试(VR-ReST)的方法,以通过半形式语言辅助需求规范,并使用结构化测试标准为使用场景图概念的VR应用自动生成测试需求和测试数据。本文还通过两个实验研究了关于在三种不同的VR应用中该方法的成本效益的经验结果。突变测试用于评估有效性。我们发现,该方法获得的变异分数平均比随机测试高20%。我们的结果还表明,该方法很有希望,因为它有助于编写和验证需求,并通过采用半正式语言来降低需求规格说明的风险。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号