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Article . 2023
License: CC BY
Full-Text: https://drops.dagstuhl.de/entities/document/10.4230/DARTS.9.2.19
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Dagstuhl Research Online Publication Server
Article . 2023
License: CC BY
Data sources: Dagstuhl Research Online Publication Server
https://dx.doi.org/10.4230/dar...
Article . 2023
License: CC BY
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VeriFx: Correct Replicated Data Types for the Masses (Artifact)

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2023Embargo end date: 11 Jul 2023 English Publisher:Schloss Dagstuhl - Leibniz-Zentrum für InformatikFunded by:EC | TaRDIS
Authors: De Porre, Kevin; Ferreira, Carla; Gonzalez Boix, Elisa;

doi: 10.4230/darts.9.2.19

VeriFx: Correct Replicated Data Types for the Masses (Artifact)

Abstract

Our related article presents our novel verification language, called VeriFx. We used VeriFx to implement and verify 51 Conflict-Free Replicated Data Types (CRDTs) and 9 Operational Transformation (OT) functions. This artifact bundles the implementation of the various CRDTs and OT functions described in the article. The artifact also contains a Docker file that can be used to reproduce the verification results (Table 1 and 2 in the article). In addition, the artifact can also be used to run custom VeriFx programs and verify their correctness.

DARTS, Vol. 9, Special Issue of the 37th European Conference on Object-Oriented Programming (ECOOP 2023), pages 19:1-19:2

Related Organizations
Keywords

distributed systems, eventual consistency, Computing methodologies → Distributed programming languages, Software and its engineering → Domain specific languages, Theory of computation → Distributed algorithms, verification, 004, replicated data types, 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!
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