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Background/Context: Currently, the usual interface for visualizing data isbased on 2-D screens. Recently, devices capable of visualizing data whileimmersed in VR scenes are becoming common. However, it has not been studied indetail to which extent these devices are suitable for interacting with datavisualizations in the specific case of data about software development.Objective/Aim: In this registered report, we propose to answer the followingquestion: "Is comprehension of software development processes, via thevisualization of their metrics, better when presented in VR scenes than in 2Dscreens?" In particular, we will study if answers obtained after interactingwith visualizations presented as VR scenes are more or less correct than thoseobtained from traditional screens, and if it takes more or less time to producethose answers. Method: We will run an experiment with volunteer subjects fromseveral backgrounds. We will have two setups: an on-screen application, and aVR scene. Both will be designed to be as much equivalent as possible in termsof the information they provide. For the former, we use a commercial-grade setof \kibana-based interactive dashboards that stakeholders currently use to getinsights. For the latter, we use a set of visualizations similar to those inthe on-screen case, prepared to provide the same set of data using the museummetaphor in a VR room. The field of analysis will be related to modern codereview, in particular pull request activity. The subjects will try to answersome questions in both setups (some will work first in VR, some on-screen),which will be presented to them in random order. To draw results, we willcompare and statistically analyze both the correctness of their answers, andthe time spent until they are produced.

To VR or not to VR: Is virtual reality suitable to understand software development metrics?