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https://doi.org/10.4230/darts....
Article . 2023
License: CC BY
Data sources: Sygma
https://dx.doi.org/10.4230/dar...
Article . 2023
License: CC BY
Data sources: Datacite
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Behavioural Types for Local-First Software (Artifact)

Authors: Kuhn, Roland; Melgratti, Hernán; Tuosto, Emilio;

Behavioural Types for Local-First Software (Artifact)

Abstract

This artifact supports the theory of swarm protocols presented in the related article. Specifically, following the top-down development typical of choreographic approaches, our artifact enables the specification of systems of peers communicating through an event notification mechanism from a global viewpoint which can then be projected to local specifications of peers, rendered as machines. To the best of our knowledge, ours is the first implementation of a behavioural type framework supporting the application of the principles of local-first software for network devices which collaborate on a common task while retaining full autonomy. The artifact can be integrated in the Actyx industrial platform; this proves this work a viable step towards reasoning about local-first and peer-to-peer software systems.

DARTS, Vol. 9, Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023), pages 14:1-14:5

Keywords

local-first software, Software and its engineering → Distributed programming languages, Software and its engineering → Distributed systems organizing principles, publish-subscribe, Theory of computation → Distributed computing models, Distributed coordination, behavioural types, asynchronous communication, 004, ddc: ddc:004

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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!
0
Average
Average
Average
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gold