Software reliability measures the probability of software operating without failure under specified conditions for a defined period. This attribute assesses a software system’s ability to consistently perform its intended functions correctly and predictably, free from errors or crashes. It encompasses aspects like fault tolerance, robustness, and consistency of operation. High software reliability is paramount for systems managing critical digital assets, where failures can lead to significant financial and security repercussions.
Context
In the realm of blockchain and digital assets, software reliability is a paramount concern, as smart contracts and decentralized applications often manage irreversible transactions. Discussions frequently revolve around formal verification methods, extensive testing, and rigorous auditing processes to enhance the dependability of these systems. The continuous deployment of updates and patches addresses newly discovered vulnerabilities, aiming to bolster system stability. Ensuring high software reliability is fundamental for maintaining trust and security in the rapidly evolving digital economy.
This research introduces three universal properties—Validity, Liquidity, and Fidelity—to formally verify smart contract integrity, preventing critical exploits across diverse applications.
This research validates large language models as potent verification oracles, simplifying complex smart contract auditing and bridging AI with formal methods.
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