Marlowe: Financial Contracts on Blockchain

Seijas, Pablo Lamela; Thompson, Simon

doi:10.1007/978-3-030-03427-6_27

Cited by 23 publications

(9 citation statements)

References 4 publications

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“…To evaluate our toolchain, we use a benchmark of representative use cases, including financial contracts [17,38], auctions, lotteries [7,33] and gambling games 5 . For each contract in the benchmark, we display in Table 1 the number N of involved participants, the number T of transactions obtained by the compiler, and the verification time V for checking liquidity 6 .…”

Section: Discussionmentioning

confidence: 99%

Developing secure bitcoin contracts with BitML

Atzei

Bartoletti

Lande

et al. 2019

Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of

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We present a toolchain for developing and verifying smart contracts that can be executed on Bitcoin. The toolchain is based on BitML, a recent domain-specific language for smart contracts with a computationally sound embedding into Bitcoin. Our toolchain automatically verifies relevant properties of contracts, among which liquidity, ensuring that funds do not remain frozen within a contract forever. A compiler is provided to translate BitML contracts into sets of standard Bitcoin transactions: executing a contract corresponds to appending these transactions to the blockchain. We assess our toolchain through a benchmark of representative contracts.Demo Video URL: https://youtu.be/bxx3bM5Pm6c CCS CONCEPTS• Software and its engineering → Software verification; • Security and privacy → Distributed systems security.

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Section: Discussionmentioning

confidence: 99%

Developing secure bitcoin contracts with BitML

Atzei

Bartoletti

Lande

et al. 2019

Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of

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“…(2020), the contracts from Sections 6 and 7 and an interpreter for a simple expression language. The latter example shows the possibility of extracting certified interpreters for domain-specific languages such as Marlowe (Lamela Seijas & Thompson 2018), CSL (Henglein et al . 2020) and the CL language (Bahr et al .…”

Section: Extractionmentioning

confidence: 99%

Extracting functional programs from Coq, in Coq

Annenkov¹,

Milo²,

Nielsen³

et al. 2022

J. Funct. Prog.

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We implement extraction of Coq programs to functional languages based on MetaCoq’s certified erasure. We extend the MetaCoq erasure output language with typing information and use it as an intermediate representation, which we call ${\lambda^T_\square}$ . We complement the extraction functionality with a full pipeline that includes several standard transformations (e.g. eta-expansion and inlining) implemented in a proof-generating manner along with a verified optimisation pass removing unused arguments. We prove the pass correct wrt. a conventional call-by-value operational semantics of functional languages. From the optimised ${\lambda^T_\square}$ representation, we obtain code in two functional smart contract languages, Liquidity and CameLIGO, the functional language Elm, and a subset of the multi-paradigm language for systems programming Rust. Rust is currently gaining popularity as a language for smart contracts, and we demonstrate how our extraction can be used to extract smart contract code for the Concordium network. The development is done in the context of the ConCert framework that enables smart contract verification. We contribute with two verified real-world smart contracts (boardroom voting and escrow), which we use, among other examples, to exemplify the applicability of the pipeline. In addition, we develop a verified web application and extract it to fully functional Elm code. In total, this gives us a way to write dependently typed programs in Coq, verify, and then extract them to several target languages while retaining a small trusted computing base of only MetaCoq and the pretty-printers into these languages.

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“…Domain-specific languages with formal semantics (e.g. [6,9,20]) provide suitable specification means for such abstractions. Moreover, they fulfill two purposes: firstly, they enable formal reasoning and security proofs.…”

Section: Agent Strategiesmentioning

confidence: 99%

Towards a Theory of Decentralized Finance

Bartoletti

Chiang

Lafuente

2021

Lecture Notes in Computer Science

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Marlowe: Financial Contracts on Blockchain

Abstract: The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.

Cited by 23 publications

References 4 publications

Developing secure bitcoin contracts with BitML

Developing secure bitcoin contracts with BitML

Extracting functional programs from Coq, in Coq

Towards a Theory of Decentralized Finance

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