Software testing for extended reality applications: a systematic mapping study

IF 3.1 2区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Automated Software Engineering Pub Date : 2025-06-03 DOI:10.1007/s10515-025-00523-7

Ruizhen Gu, José Miguel Rojas, Donghwan Shin

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引用次数: 0

Abstract

Extended Reality (XR) is an emerging technology spanning diverse application domains and offering immersive user experiences. However, its unique characteristics, such as six degrees of freedom interactions, present significant testing challenges distinct from traditional 2D GUI applications, demanding novel testing techniques to build high-quality XR applications. This paper presents the first systematic mapping study on software testing for XR applications. We selected 34 studies focusing on techniques and empirical approaches in XR software testing for detailed examination. The studies are classified and reviewed to address the current research landscape, test facets, and evaluation methodologies in the XR testing domain. Additionally, we provide a repository summarising the mapping study, including datasets and tools referenced in the selected studies, to support future research and practical applications. Our study highlights open challenges in XR testing and proposes actionable future research directions to address the gaps and advance the field of XR software testing.

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扩展现实应用的软件测试：系统的映射研究

扩展现实（XR）是一种新兴的技术，跨越了不同的应用领域，并提供了沉浸式的用户体验。然而，其独特的特性，如六自由度交互，与传统的2D GUI应用程序不同，提出了重大的测试挑战，需要新颖的测试技术来构建高质量的XR应用程序。本文首次对XR应用的软件测试进行了系统的映射研究。本文选取了34篇研究XR软件测试技术和实证方法的研究进行详细考察。这些研究被分类和回顾，以解决当前的研究前景，测试方面，和评估方法在XR测试领域。此外，我们提供了一个存储库，总结了地图研究，包括在选定的研究中引用的数据集和工具，以支持未来的研究和实际应用。我们的研究强调了XR测试中的开放挑战，并提出了可操作的未来研究方向，以解决差距并推进XR软件测试领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Automated Software Engineering 工程技术-计算机：软件工程

CiteScore

4.80

自引率

11.80%

发文量

审稿时长

>12 weeks

期刊介绍： This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.