VisGap2021 - The Gap between Visualization Research and Visualization Software

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https://diglib.eg.org/handle/10.2312/2633055

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Browsing VisGap2021 - The Gap between Visualization Research and Visualization Software by Subject "Software and its engineering"

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    OSPRay Studio: Enabling Multi-Workflow Visualizations with OSPRay
    (The Eurographics Association, 2021) Sharma, Isha; DeMarle, Dave; Hota, Alok; Cherniak, Bruce; Günther, Johannes; Gillmann, Christina and Krone, Michael and Reina, Guido and Wischgoll, Thomas
    There are a number of established production ready scientific visualization tools in the field today including ParaView [Aya15], VisIt [CBW*11] and EnSight [Ans]. However, often they come with well defined core feature sets, established visual appearance characteristics, and steep learning curves – especially for software developers. They have vast differences with other rendering applications such as Blender or Maya (known for their high-quality rendering and 3D content creation uses) in terms of design and features, and have over time become monolithic in nature with difficult to customize workflows [UFK*89]. As such a multi-purpose visualization solution for Scientific, Product, Architectural and Medical Visualization is hard to find. This is a gap we identify; and with this paper we present the idea of a minimal application called OSPRay Studio, with a flexible design to support high-quality physically-based rendering and scientific visualization workflows. We will describe the motivation, design philosophy, features, targeted use-cases and real-world applications along with future opportunities for this application.
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    Property-Based Testing for Visualization Development
    (The Eurographics Association, 2021) Stegmaier, Michael; Engel, Dominik; Olbrich, Jannik; Ropinski, Timo; Tichy, Matthias; Gillmann, Christina and Krone, Michael and Reina, Guido and Wischgoll, Thomas
    As the testing capabilities of current visualization software fail to cover a large space of rendering parameters, we propose to use property-based testing to automatically generate a large set of tests with different parameter sets. By comparing the resulting renderings for pairs of different parameters, we can verify certain effects to be expected in the rendering upon change of a specific parameter. This allows for testing visualization algorithms with a large coverage of rendering parameters. Our proposed approach can also be used in a test-driven manner, meaning the tests can be defined alongside the actual algorithm. Lastly, we show that by integrating the proposed concepts into the existing regression testing pipeline of Inviwo, we can execute the property-based testing process in a continuous integration setup. To demonstrate our approach, we describe use cases where property-based testing can help to find errors during visualization development.