Collaborative program comprehension via software visualization in extended reality

Krause-Glau, Alexander; Hansen, M.D.; Hasselbring, Wilhelm

doi:10.1016/j.infsof.2022.107007

Cited by 11 publications

(4 citation statements)

References 8 publications

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“…Trends in XR currently revolve around the implementation of XR models, the study of architectures to define the compatibility among development technologies for XR-based gamified apps, and the study of the benefits of these technologies on current XR models [31][32][33][34][35][36][37]. Research also focuses on exploring the benefits of intermixing XR, AR, and VR technologies [38], specially by incorporating 3D models in virtual environments in both gamified apps and serious games [39][40][41].…”

Section: Resultsmentioning

confidence: 99%

“…Related Research. Glau et al[32], Anastasiou et al[33], Carberry et al[34], Gazzotti et al[35], Tsang et al[36], Hunde et al[37], Cárdenas-Robledo et al[38], Burian et al [39], Stacchio et al [40], Darwish et al [41]. Serious games and Extended Reality Brauner et al [42], Ferreira et al [43], Hassan et al [44], Urgo et al [45], Rodríguez et al [46], Thangavelu et al [47], Allal-Chérif et al [48], Antunes et al [49], Khaleghi et al [50], Rosenthal et al [51], Pistono et al [52], Jaccard et al [53], Ullah et al [54], Ahmad et al [55], Altan et al [56], Cappannari et al [57], Cook et al [58], Parra et al [59], Moro et al [60].…”

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confidence: 99%

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Extended Reality (XR) Engines for Developing Gamified Apps and Serious Games: A Scoping Review

Marín-Vega,

Alor-Hernández,

Bustos-López

et al. 2023

Future Internet

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Extended Reality (XR) is an emerging technology that enables enhanced interaction between the real world and virtual environments. In this study, we conduct a scoping review of XR engines for developing gamified apps and serious games. Our study revolves around four aspects: (1) existing XR game engines, (2) their primary features, (3) supported serious game attributes, and (4) supported learning activities. We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) model to conduct the scoping review, which included 40 primary studies published between 2019 and 2023. Our findings help us understand how current XR engines support the development of XR-enriched serious games and gamified apps for specific learning activities. Additionally, based on our findings, we suggest a set of pre-established game attributes that could be commonly supported by all XR game engines across the different game categories proposed by Lameras. Hence, this scoping review can help developers (1) select important game attributes for their new games and (2) choose the game engine that provides the most support to these attributes.

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Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

Extended Reality (XR) Engines for Developing Gamified Apps and Serious Games: A Scoping Review

Marín-Vega,

Alor-Hernández,

Bustos-López

et al. 2023

Future Internet

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“…Koschke et al provide a collaborative VR method with diverse views, i.a., for clone detection or identifying architectural drift [28,29]. Krause-Glau et al propose a method for behavioral aspects investigation in a collaborative setting across various devices, including VR headsets [31]. While these contributions are valuable for collaborative VR software exploration, they lack the means for engineers to take notes on their insights, potentially leading to loss of valuable information during prolonged sessions -which constitute a relevant use case.…”

Section: Software Visualizationmentioning

confidence: 99%

Collaborative Software Exploration with Multimedia Note Taking in Virtual Reality

Hoff,

Lungu,

Seidl

et al. 2024

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension

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“…4 Our tool's development commenced in 2012 [17] and focused on several aspects throughout time, such as development concerns [18], [19] and extended reality [16], [20]. More recently, we use ExplorViz to research collaborative software visualization in the context of program comprehension [16], [21]. ExplorViz currently uses dynamic analysis as source for the visualization.…”

Section: B Proof Of Concept Implementationmentioning

confidence: 99%

Collaborative Software Visualization for Program Comprehension

Krause-Glau

Bader

Hasselbring

2022

2022 Working Conference on Software Visualization (VISSOFT)

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Software visualizations are usually realized as standalone and isolated tools that use embedded code viewers within the visualization. In the context of program comprehension, only few approaches integrate visualizations into code editors, such as integrated development environments. This is surprising since professional developers consider reading source code as one of the most important ways to understand software, therefore spend a lot of time with code editors.In this paper, we introduce the design and proof-of-concept implementation for a software visualization approach that can be embedded into code editors. Our contribution differs from related work in that we use dynamic analysis of a software system's runtime behavior. Additionally, we incorporate distributed tracing. This enables developers to understand how, for example, the currently handled source code behaves as a fully deployed, distributed software system. Our visualization approach enhances common remote pair programming tools and is collaboratively usable by employing shared code cities. As a result, user interactions are synchronized between code editor and visualization, as well as broadcasted to collaborators.To the best of our knowledge, this is the first approach that combines code editors with collaboratively usable code cities. Therefore, we conducted a user study to collect first-time feedback regarding the perceived usefulness and perceived usability of our approach. We additionally collected logging information to provide more data regarding time spent in code cities that are embedded in code editors. Seven teams with two students each participated in that study. The results show that the majority of participants find our approach useful and would employ it for their own use. We provide each participant's video recording, raw results, and all steps to reproduce our experiment as supplementary package. Furthermore, a live demo of our tool is available online. 1 We invite other researchers to extend our opensource software. 2 Video URL: https://youtu.be/3qZVSehnEug

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Collaborative program comprehension via software visualization in extended reality

Cited by 11 publications

References 8 publications

Extended Reality (XR) Engines for Developing Gamified Apps and Serious Games: A Scoping Review

Extended Reality (XR) Engines for Developing Gamified Apps and Serious Games: A Scoping Review

Collaborative Software Exploration with Multimedia Note Taking in Virtual Reality

Collaborative Software Visualization for Program Comprehension

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