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@@ -42,16 +42,12 @@ Please have a look at our [Wiki](../../wiki/Home) which contains many additional
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### Main Contributors
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Getaviz is developed by the research group [Visual Software Analytics](http://home.uni-leipzig.de/svis/) at Leipzig University. It has been developed over several years and is the basic for many scientific publications. In 2018 we released Getaviz as open source to simplify collaboration and practical use of our research prototype.
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Currently, four developers are contributung actively to Getaviz:
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Getaviz is mainly developed by the research group [Visual Software Analytics](http://softvis.wifa.uni-leipzig.de) at Leipzig University. It has been developed over several years and is the basic for many scientific publications. Currently, four main developers are contributung actively to Getaviz:
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* [Richard Müller](https://github.com/rmllr)
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* Jan Schilbach
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* Pascal Kovacs
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* [David Baum](http://home.uni-leipzig.de/svis/Research%20Group/#DavidBaum)
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Have a look at our [website](https://home.uni-leipzig.de/svis/) for more information about our research group, visualization examples, and our publications. We are looking for collaborations with researchers and developers/companies. If you are interested, please contact us via email.
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### Further Contributors
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Many thanks to all the contributors who have improved Getaviz by implementing new features or fixing bugs, especially:
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* [Dan Häberlein](https://github.com/dhaeb)
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* [Lisa Vogelsberg](https://github.com/Valekta/)
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* [Aaron Sillus](https://github.com/AaronSil)
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### Publications
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* Baum, David; Schilbach, Jan; Kovacs, Pascal; Eisenecker, Ulrich; Müller, Richard: [GETAVIZ: Generating Structural, Behavioral, and Evolutionary Views of Software Systems for Empirical Evaluation](https://www.researchgate.net/publication/320083290_GETAVIZ_Generating_Structural_Behavioral_and_Evolutionary_Views_of_Software_Systems_for_Empirical_Evaluation), IEEE VISSOFT, 2017
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* Baum, David; Dietrich, Jens; Anslow, Craig; Müller, Richard: [Visualizing Design Erosion: How Big Balls of Mud are Made](https://arxiv.org/abs/1807.06136), IEEE VISSOFT, 2018.

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