Lune

ASE2025Top-tier venue

Interpretable Vulnerability Detection Reports

Cláudia Mamede, José Campos, Claire Le Goues, Rui Abreu

2025Year

Abstract

Software security faces a persistent gap: static analysis tools detect vulnerabilities effectively, but their technical outputs remain inaccessible to most developers. This leads to mounting security debt, as organizations must rely on security specialists for remediation, creating bottlenecks that delay fixes. This paper proposes an interpretability convention and a modular workflow that transforms raw static analyzer outputs into clear, actionable vulnerability reports for all developers, not just security experts. Our tool, SECGen, automates the workflow by parsing static analyzer outputs and restructuring them into clear, developer-friendly reports based on our convention, and enforcing compliance through automated validation. We validated our approach through a user study with 25 developers, comparing our interpretable reports to other state-of-the-art static analyzer outputs. The results suggest that developers using interpretable reports detect, understand and fix vulnerabilities more effectively, requiring only 67% of the time typically spent with traditional reports while writing more correct fixes. Key reasons for this include participants’ preference for structured reports, with clear vulnerability descriptions and actionable fix suggestions.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext e1976ccd-4f7f-4d85-a91c-efec98a8199a

Builds on11

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines