I Can SE Clearly Now: Investigating the Effectiveness of GUI-based Symbolic Execution for Software Vulnerability Discovery

Key findings from this study

This research indicates that:

• GUI-based interfaces materially affect how vulnerability discovery experts navigate and prioritize symbolic execution workflows compared to API-based control.
• Interface design choices significantly influence the cognitive demands required for effective program state understanding and path selection.
• GUI features create measurable differences in vulnerability detection outcomes and analysis efficiency during binary security analysis tasks.

Overview

Symbolic execution tools support vulnerability discovery but face adoption barriers related to user expertise and path prioritization. This study investigates how graphical user interface implementations affect human performance compared to programmatic application programming interface controls in symbolic execution workflows.

Methods and approach

A controlled experiment engaged 24 vulnerability discovery experts performing binary analysis tasks. Participants used either API-based or GUI-based interfaces to the same symbolic execution tool. The study documented expert processes and measured performance differences between interface modalities.

Results

The experiment identifies patterns in how experts navigate symbolic execution workflows and prioritize analysis paths. GUI-based interfaces produced measurable changes in human-SE interaction patterns compared to API-based approaches. The findings reveal specific performance metrics related to task completion time, path exploration strategies, and vulnerability detection rates across the two interface conditions.

Analysis of expert behavior during symbolic execution tasks shows interface design significantly influences decision-making patterns. Experts adapted their strategies based on available interface affordances, affecting how systematically they explored program states. Performance variations emerged in both efficiency metrics and the comprehensiveness of vulnerability discovery across conditions.

Implications

GUI-based symbolic execution tools reshape the cognitive demands on human operators during vulnerability analysis. Interface design choices directly impact adoption barriers by altering the expertise requirements for effective path prioritization and state comprehension. Organizations evaluating symbolic execution adoption should consider interface modality as a critical factor affecting practical deployment success.

The findings suggest tool developers should prioritize interface design improvements to reduce human expertise requirements in symbolic execution workflows. Specific design recommendations emerge from observing how GUI features either facilitate or hinder expert decision-making processes. Enhanced tool usability may substantially broaden symbolic execution adoption beyond current expert populations.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.