Program Analysis

Definition ∞ Program analysis is the automated examination of computer programs to discover properties about their behavior. This technique helps identify potential bugs, security vulnerabilities, or performance issues without actually running the code. It is crucial for verifying the correctness and safety of complex software systems. In blockchain, it aids in auditing smart contracts for flaws.
Context ∞ The application of program analysis tools is increasingly vital for ensuring the security of smart contracts and blockchain protocols. A key discussion addresses the limitations of automated analysis in detecting all types of logical errors or economic exploits. Forthcoming research aims to develop more sophisticated static and dynamic analysis methods for greater accuracy and coverage.

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→Large Language Models

→Semantic Recovery

→Non-Linear Constraints

Dependency Graphs and LLMs Enhance Formal Smart Contract Verification

SmartHalo framework uses Dependency Graphs and Large Language Models to semantically enrich decompiled bytecode, making formal verification of deployed contracts scalable and precise.

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→Distributed Systems

→Model Checking

→Security Flaws

Formal Verification Is the Essential Cryptographic Primitive for DeFi Correctness

Foundational research systematizes formal verification via logic and automated reasoning to mathematically prove smart contract correctness, fortifying the $100B DeFi ecosystem.

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→Security Auditing

→Decentralized Finance

→Code Correctness

LLM-Driven Property Generation Automates Smart Contract Formal Verification and Auditing

PropertyGPT uses retrieval-augmented LLMs and iterative refinement to automatically generate formal verification properties, fundamentally mitigating the critical human-expertise bottleneck in smart contract security.

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→Code Correctness

→Move Prover

→Solidity Verification

Comparing Solidity and Move Formal Verification for Enhanced Smart Contract Security

This analysis reveals how smart contract language design fundamentally impacts formal verification efficacy, paving the way for more secure blockchain architectures.

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→Blockchain Auditing

→Smart-Contracts

→Program Analysis

LLM-driven Property Generation Revolutionizes Smart Contract Formal Verification

PropertyGPT leverages large language models and retrieval-augmented generation to automatically produce comprehensive, verifiable formal specifications for smart contracts, shifting property generation from manual expert effort to an automated, scalable process.

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→LLM

→Verification Properties

→Decentralized Applications

LLMs Automate Smart Contract Formal Verification Property Generation

A novel system leverages large language models and retrieval-augmented generation to automate smart contract property creation, enhancing security and accessibility.