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Home/Authors/Mike Dodds

Mike Dodds

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
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Publications per year

2
26

Top categories

Prog. Lang.×1Software Eng.×1AI×1

Frequent co-authors

Ryan G. Scott1×
Ivan Perez1×
Alwyn E. Goodloe1×
Robert Dockins1×
Quinn Dougherty1×
Max von Hippel1×

Research Timeline

2026
FVSpec: Real-World Property-Based Tests as Lean Challenges

The paper introduces FVSpec, a large-scale benchmark that translates thousands of real-world Python property-based tests into formal Lean 4 specifications to evaluate AI models for formal software verification.

Trustworthy Runtime Verification via Bisimulation (Extended Experience Report)

This paper presents CopilotVerifier, a tool that generates proofs of correctness for the compiled output of the Copilot runtime verification framework.

Highlighted terms show continued research focus across papers

Papers

cs.PLTheoreticalRecentJul 1, 2026

Trustworthy Runtime Verification via Bisimulation (Extended Experience Report)

Ryan G. Scott, Ivan Perez, Alwyn E. Goodloe, Mike Dodds +1 more

This paper presents CopilotVerifier, a tool that generates proofs of correctness for the compiled output of the Copilot runtime verification framework.

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cs.SEcs.AIRecentMay 31, 2026

FVSpec: Real-World Property-Based Tests as Lean Challenges

Quinn Dougherty, Max von Hippel, Hazel Shackleton, Mike Dodds

The paper introduces FVSpec, a large-scale benchmark that translates thousands of real-world Python property-based tests into formal Lean 4 specifications to evaluate AI models for formal software ver…

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