Software testing for extended reality applications: a systematic mapping study

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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Publication Details

Journal
Automated Software Engineering
Published
2025-06-02
DOI
https://doi.org/10.1007/s10515-025-00523-7
Citations
6
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
13.85
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article

Software testing for extended reality applications: a systematic mapping study

Donghwan Shin, José Miguel Rojas, Ruizhen Gu
6 citations
Automated Software Engineering
Software Testing and Debugging Techniques
13.85
article

Software testing for extended reality applications: a systematic mapping study

Donghwan Shin, José Miguel Rojas, Ruizhen Gu
article en
6 citations

Abstract

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.

Automated Software EngineeringVol. 32(2)
University of Sheffield (GB)
Openalex Percentile: Top 1%
Software Testing and Debugging Techniques
13.85
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Software testing for extended reality applications: a systematic mapping study — Donghwan Shin, José Miguel Rojas, et al. · Automated Software Engineering (2025) | TGRS Research Map | TGRS