This paper aims to shed light on how loops are used in smart contracts. Towards this goal, we study various syntactic and semantic characteristics of loops used in over 20,000 Solidity contracts deployed on the Ethereum block chain, with the goal of informing future research on program analysis for smart contracts. Based on our findings, we propose a small domain-specific language (DSL) that can be used to summarize common looping patterns in Solidity. To evaluate what percentage of smart contract loops can be expressed in our proposed DSL, we also design and implement a program synthesis toolchain called Solis that can synthesize loop summaries in our DSL. Our evaluation shows that at least 56% of the analyzed loops can be summarized in our DSL, and 81% of these summaries are exactly equivalent to the original loop.
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|Synthesis of Infinite-State Systems with Random Behavior|
|Demystifying Loops in Smart Contracts|
|Patching as Translation: The Data and the Metaphor|
Yangruibo DingColumbia University, Baishakhi RayColumbia University, USA, Prem DevanbuUniversity of California, Vincent HellendoornCarnegie Mellon UniversityDOI Pre-print