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Visual Analysis of Hyperproperties for Understanding Model Checking Results.

Tom Horak, Norine Coenen, Niklas Metzger

    IEEE Transactions on Visualization and Computer Graphics
    |September 29, 2021
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    Summary
    This summary is machine-generated.

    HyperVis visualizes counterexamples from model checking hyperproperties, aiding understanding of system errors. This tool enhances analysis and iteration of system specifications, improving upon manual methods.

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    Area of Science:

    • Computer Science
    • Software Engineering
    • Formal Methods

    Background:

    • Model checking verifies system properties against mathematical models.
    • Hyperproperties specify requirements across multiple system executions.
    • Analyzing counterexamples for hyperproperties is complex and challenging.

    Purpose of the Study:

    • To develop an interactive visualization tool, HyperVis, for analyzing model checking counterexamples of hyperproperties.
    • To improve the understanding and debugging of complex system behaviors.

    Main Methods:

    • Iterative, interdisciplinary design process for visualization solutions.
    • Interactive visualizations of models, specifications, and counterexamples.
    • Graphical representations, color encoding, enhanced text, and cross-view highlighting.
    • Causal analysis of counterexamples to identify contributing values.
    • Direct modification of system and specification within the tool.

    Main Results:

    • HyperVis provides effective communication of model checking results.
    • Visualizations facilitate pattern recognition and understanding of related aspects.
    • Causal analysis aids in identifying error-causing values.
    • Interactive features support iterative refinement of systems and specifications.
    • Case studies and expert feedback confirm significant improvement over manual analysis.

    Conclusions:

    • HyperVis substantially aids analysts in understanding hyperproperty violations.
    • The tool offers a valuable improvement over traditional text-based analysis.
    • Interactive visualization and causal analysis are key to effective counterexample explanation.