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    This study introduces a meta-visualization tool for algorithm development, enabling simultaneous exploration of code evolution and visual outcomes. It enhances insight into changes for graphical algorithm programmers.

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    Area of Science:

    • Computer Science
    • Information Visualization
    • Scientific Visualization

    Background:

    • Existing development tools lack focus on visual outcomes crucial for graphical algorithms.
    • Algorithm development requires comparing code changes with resulting visualizations.

    Purpose of the Study:

    • To present a novel meta-visualization approach for simultaneously exploring algorithm development and visual results.
    • To provide tools for interactive comparison of code and visual states.

    Main Methods:

    • Developed an interactive system with a web-based interface.
    • Implemented GPU-accelerated live execution for C++ and GLSL.
    • Created on-the-fly difference images and source code visualizations.

    Main Results:

    • The system allows simultaneous exploration of algorithm evolution and visual outcomes.
    • Interactive tools facilitate direct comparison of development states (visual and code).
    • Difference images and code structure visualization enhance insight into changes.

    Conclusions:

    • The novel meta-visualization approach aids visualization programmers in understanding algorithm development.
    • The system improves insight into interconnected changes between code and visual results over time.