2026· International Conference on Software and Data Technologies· pp. 557-564· 0 citations· 18 references
Computer Science
TL;DR
This paper presents a closed-loop framework for semantics-preserving smart contract migration that combines LLM-based code generation with formal verification and performs migration iteratively through compilation, bytecode-level equivalence checking, counterex-ample generation, and refinement.
Abstract
: Smart contracts operate in immutable blockchain environments where preserving correctness during software evolution is critical. The transition from Solidity 0.5.x to 0.8.x introduces important safety improvements but also semantic changes that make manual migration of legacy contracts error-prone. Although large language models (LLMs) can automatically translate code across versions, they offer no guarantee that the generated contracts preserve the original behavior. This paper presents a closed-loop framework for semantics-preserving smart contract migration that combines LLM-based code generation with formal verification. Our approach performs migration iteratively through compilation, bytecode-level equivalence checking, counterex-ample generation, and refinement. Behavioral equivalence is verified using differential fuzzing and symbolic execution over Ethereum Virtual Machine semantics, and detected discrepancies are fed back to guide improved LLM outputs.
This work proposes VPID, a multi-agent framework for generating complex Verilog that achieves monotonic functional improvement and introduces an experience-guided refinement strategy that distills historical waveform mismatches into constraints, guiding the targeted debugging for the unverified ports.
Hong-Guang Wang, Jiaming Guo, Rui Zhang et al.· Proceedings of the Thirty-Fi...· 0 citations
Verifying large C codebases requires translating them into formally checkable semantics, but most autoformalization work reports a single aggregate success rate that conflates two different failure modes: code the translator declined to handle and code the translator translated incorrectly. We present a deterministic c...
Smart contracts manage substantial digital assets on blockchains. Given their transparency and immutability, ensuring their correctness before deployment is essential. While verification tools offer assistance, the iterative nature of the process presents hurdles, especially for less experienced developers. In this pap...
Tang-Lin Chen, Hao-Xian Chen, Hui-Lin Xiang et al.· Proceedings of the 41st IEEE...· 0 citations
Keeping a Python program and its formal guarantees aligned is a continuing maintenance problem. Specifications must describe the implementation that actually runs, and updates must preserve the behavior on which existing callers depend. VeriPy brings these obligations into a common workflow for annotated Python compone...
This paper presents a framework where programmers can use schemas and reusable constructs for a given domain, which domain experts can then use to specify smart contracts in familiar terms and concepts rather than in a specialized programming language.
Yun-Tao Cai, Keerthi Nelaturu, A. Veneris· 0 citations
Blockchain systems are increasingly targeted by on-chain attacks that exploit vulnerabilities in smart contracts, resulting in billions of dollars in losses. Understanding and reproducing these attacks is critical for defense, yet currently relies on manually crafting proofs-of-concept (PoCs), which is labor-intensive,...
Xing Su, Hao Wu, Han-Zhong Liang et al.· Proceedings of the 41st IEEE...· 0 citations
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