Skip to main content
archive
Search Submit Donate Log in
Press Enter to search · Advanced search

Computer Science > Software Engineering

arXiv:2605.10712 (cs)
[Submitted on 11 May 2026]

Title:AutoSOUP: Safety-Oriented Unit Proof Generation for Component-level Memory-Safety Verification

Authors:Paschal C. Amusuo, Ricardo Calvo, Dharun Anandayuvaraj, Taylor Le Lievre, Kevin Kolyakov, Elijah Jorgensen, Aravind Machiry, James C. Davis
View a PDF of the paper titled AutoSOUP: Safety-Oriented Unit Proof Generation for Component-level Memory-Safety Verification, by Paschal C. Amusuo and 7 other authors
View PDF HTML (experimental)
Abstract:Memory-safety errors remain a persistent source of zero-day vulnerabilities in low-level software. The problem is especially acute in embedded systems, where hardware protections are often limited and dynamic analysis is difficult to apply effectively. Memory-safety verification can provide stronger assurance by proving the absence of such errors or exposing violations when they exist. However, current verification workflows remain largely manual and require substantial specialized expertise, limiting their adoption in practice.
We present AutoSOUP, a system for automating component-level memory-safety verification through Safety-Oriented Unit Proofs. We formalize these unit proofs as artifacts that encode verification choices (scope, loop bounds, and environment models) for verifying safety properties, and introduce three techniques for deriving them automatically. To overcome the limitations of existing automation approaches, we further introduce LLM-As-Function-Call, a hybrid architecture that combines deterministic program synthesis with LLMs to automate these techniques and produce justifiable unit proofs. We evaluate AutoSOUP by assessing its ability to automate memory-safety verification and expose vulnerabilities in verified components, and we characterize the assumptions and guarantees of the resulting proofs.
Comments: 13 main pages, 7 appendix pages, 2 figures, 5 listings
Subjects: Software Engineering (cs.SE); Cryptography and Security (cs.CR)
ACM classes: D.2.4; F.3.1
Cite as: arXiv:2605.10712 [cs.SE]
  (or arXiv:2605.10712v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2605.10712
arXiv-issued DOI via DataCite

Submission history

From: Paschal Amusuo [view email]
[v1] Mon, 11 May 2026 15:23:26 UTC (2,016 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled AutoSOUP: Safety-Oriented Unit Proof Generation for Component-level Memory-Safety Verification, by Paschal C. Amusuo and 7 other authors
  • View PDF
  • HTML (experimental)
  • TeX Source
license icon view license

Current browse context:

cs.SE
< prev   |   next >
new | recent | 2026-05
Change to browse by:
cs
cs.CR

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
Loading...

BibTeX formatted citation

Data provided by:

Bookmark

BibSonomy Reddit

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
We gratefully acknowledge support from our major funders, member institutions, , and all contributors.
About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)
Major funding support from
Simons Foundation Simons Foundation International Schmidt Sciences