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Smart contracts are programs that manage digital assets according to acertain protocol, expressing for instance the rules of an auction.Understanding the possible behaviors of a smart contract is difficult, whichcomplicates development, auditing, and the post-mortem analysis of attacks.  This paper presents the first specification mining technique for smartcontracts. Our technique extracts the possible behaviors of smart contractsfrom contract executions recorded on a blockchain and expresses them as finiteautomata. A novel dependency analysis allows us to separate independentinteractions with a contract. Our technique tunes the abstractions for theautomata construction automatically based on configurable metrics, forinstance, to maximize readability or precision. We implemented our techniquefor the Ethereum blockchain and evaluated its usability on several real-worldcontracts.

Specification Mining for Smart Contracts with Automatic Abstraction Tuning