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DaV3is: Data Flow-Based Vulnerability Verification Through Visualization
IEEE Transactions on Visualization and Computer Graphics
|March 19, 2026
Summary
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.
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.
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