Diffy: Inductive Reasoning of Array Programs using Difference Invariants
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Abstract (arXiv)
We present a novel verification technique to prove interesting properties of a class of array programs with a symbolic parameter N denoting the size of arrays. The technique relies on constructing two slightly different versions of the same program. It infers difference relations between the corresponding variables at key control points of the joint control-flow graph of the two program versions. The desired post-condition is then proved by inducting on the program parameter N, wherein the difference invariants are crucially used in the inductive step. This contrasts with classical techniques that rely on finding potentially complex loop invaraints for each loop in the program. Our synergistic combination of inductive reasoning and finding simple difference invariants helps prove properties of programs that cannot be proved even by the winner of Arrays sub-category from SV-COMP 2021. We have implemented a prototype tool called diffy to demonstrate these ideas. We present results comparing the performance of diffy with that of state-of-the-art tools.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 May 2021.
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Citing papers per year: 2023: 1; 2024: 1; 2025: 2; 2026: 1.
5 papers.
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- 2026Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thoughtcited by 0
- 2026Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought18 Mar 2026
- 2025Towards Repository-Level Program Verification with Large Language Models31 Aug 2025
- 2025Data-driven Verification of Procedural Programs with Integer Arrays21 May 2025
- 2024AutoVerus: Automated Proof Generation for Rust Code19 Sep 2024
- 2023Leveraging Large Language Models for Automated Proof Synthesis in Rust7 Nov 2023