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  1. Home
  3. Dav3is: Data Flow-based Vulnerability Verification Through Visualization.
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  3. Dav3is: Data Flow-based Vulnerability Verification Through Visualization.

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DaV3is: Data Flow-Based Vulnerability Verification Through Visualization.

Tobias Mertz, Steven Lamarr Reynolds, Jorn Kohlhammer

    IEEE Transactions on Visualization and Computer Graphics
    |March 19, 2026

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    DaV3is aids software security by visually comparing data flows, simplifying vulnerability verification. This approach helps users find similarities in event sequences to reduce the workload.

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    Area of Science:

    • Computer Science
    • Software Engineering
    • Human-Computer Interaction

    Background:

    • Software vulnerability verification is critical for system security.
    • Manual verification is time-consuming and complex.
    • Existing tools lack effective methods for analyzing complex data flows.

    Purpose of the Study:

    • To introduce DaV3is, a novel system for vulnerability verification.
    • To leverage visual event sequence analysis for comparing data flows.
    • To reduce the workload of software security verification.

    Main Methods:

    • Characterized the domain problem through user input.
    • Designed DaV3is based on visual analytics best practices.
    • Evaluated design decisions, usability, and utility with stakeholders.

    Main Results:

    • DaV3is enables comparison and tracing of data flows.
    • Visual event sequence analysis facilitates identification of similarities.
    • Studies showed positive user responses regarding suitability and utility.

    Conclusions:

    • DaV3is is a suitable tool for aiding vulnerability verification.
    • Visual analytics techniques can effectively reduce verification workload.
    • The study provides insights for future research in software security tools.