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Conference object . 2020
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Article . 2019
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ConCert: a smart contract certification framework in Coq

Authors: Danil Annenkov; Jakob Botsch Nielsen; Bas Spitters;

ConCert: a smart contract certification framework in Coq

Abstract

We present a new way of embedding functional languages into the Coq proof assistant by using meta-programming. This allows us to develop the meta-theory of the language using the deep embedding and provides a convenient way for reasoning about concrete programs using the shallow embedding. We connect the deep and the shallow embeddings by a soundness theorem. As an instance of our approach, we develop an embedding of a core smart contract language into Coq and verify several important properties of a crowdfunding contract based on a previous formalisation of smart contract execution in blockchains.

Extended the related work section. Significantly extended sections on translation and semantics. Added more examples and details about the formalisation. Commented of unquote and the trusted computing base. Commented on adequacy

Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Blockchain, Certified programming, Computer Science - Programming Languages, Coq, Software correctness, Functional programming languages, Smart contracts, Programming Languages (cs.PL), Logic in Computer Science (cs.LO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Top 10%
Top 10%
Green