A Unit Proofing Framework for Code-level Verification: A Research Agenda

Formal verification provides mathematical guarantees that a software is correct. Design-level verification tools ensure software specifications are correct, but they do not expose defects in actual implementations. For this purpose, engineers use code-level tools. However, such tools struggle to scale to large software. The process of "Unit Proofing" mitigates this by decomposing the software and verifying each unit independently. We examined AWS’s use of unit proofing and observed that current approaches are manual and prone to faults that mask severe defects. We propose a research agenda for a unit proofing framework, both methods and tools, to support software engineers in applying unit proofing effectively and efficiently. This will enable engineers to discover code-level defects early.

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Publication Details

Published
2025-04-27
DOI
https://doi.org/10.1109/icse-nier66352.2025.00013
Primary Topic
Software Testing and Debugging Techniques
Type
article
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A Unit Proofing Framework for Code-level Verification: A Research Agenda

Paschal C. Amusuo, James C. Davis, Parth V. Patil, Owen Cochell et al.
Software Testing and Debugging Techniques
article

A Unit Proofing Framework for Code-level Verification: A Research Agenda

Paschal C. Amusuo, James C. Davis, Parth V. Patil, Owen Cochell, Taylor Le Lievre
article en

Abstract

Formal verification provides mathematical guarantees that a software is correct. Design-level verification tools ensure software specifications are correct, but they do not expose defects in actual implementations. For this purpose, engineers use code-level tools. However, such tools struggle to scale to large software. The process of "Unit Proofing" mitigates this by decomposing the software and verifying each unit independently. We examined AWS’s use of unit proofing and observed that current approaches are manual and prone to faults that mask severe defects. We propose a research agenda for a unit proofing framework, both methods and tools, to support software engineers in applying unit proofing effectively and efficiently. This will enable engineers to discover code-level defects early.

Purdue University West Lafayette (US), Michigan State University (US)
Openalex Percentile: Top 87%
Software Testing and Debugging Techniques
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