With Getaviz you can solve software engineering problems visually by exploring software artifacts in 2D, 3D, and virtual reality. Among other things it provides proper visualizations for identifying and refactoring antipatterns, locating runtime bottlenecks, assessing software quality, and tracking changes across multiple versions. To get a first impression, have a look at our showcases that are available online. You can adapt the visualizations as well as the user interface according to your needs. Getaviz visualizes the structure and behavior of several programming languages (Java, Ruby, PHP, and C#) and can enrich these visualizations with evolutionary information from git and svn repositories. They can be explored via browser, HTC Vive, or Oculus Rift. We support many different visualizations, e.g., Recursive Disk (2D and 3D), City, City Floors, City Bricks, and many more.
Clone this repository and have a look at our Wiki which contains many additional information. There you will find guides for installation, usage, and setting up your local environment for development. Please open an issue if you have any questions or experience any problems. Already answered questions can be found here.
Getaviz is mainly developed by the research group Visual Software Analytics at Leipzig University. Currently, four main developers are contributing actively to Getaviz:
Many thanks to all the contributors who have improved Getaviz by implementing new features or fixing bugs, especially: Denise Zilch, André Naumann, Stefan Faulhaber, Dan Häberlein, Lisa Vogelsberg, Aaron Sillus, Jens Thomann, Xuefei Gao, Vladislavs Terjaniks, Łukasz Kalfas, and Christina Sixtus.
- David Baum, Stefan Bechert, Ulrich Eisenecker, Isabelle Meichsner, Richard Müller: Identifying Usability Issues of Software Analytics Applications in Immersive Augmented Reality, IEEE VISSOFT, 2020.
- David Baum, Pascal Kovacs, Richard Müller: Fostering Collaboration of Academia and Industry by Open Source Software, SE20 Software Engineering, 2020.
- David Baum, Christina Sixtus, Lisa Vogelsberg, Ulrich Eisenecker: Understanding Conditional Compilation Through Integrated Representation of Variability and Source Code, SPLC, 2019.
- David Baum, Jens Dietrich, Craig Anslow, Richard Müller: Visualizing Design Erosion: How Big Balls of Mud are Made, IEEE VISSOFT, 2018.
- David Baum, Jan Schilbach, Pascal Kovacs, Ulrich Eisenecker, Richard Müller: GETAVIZ: Generating Structural, Behavioral, and Evolutionary Views of Software Systems for Empirical Evaluation, IEEE VISSOFT, 2017.
A full list of publications you can find on our website.