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Coordination Models and Languages

Overview of attention for book
Cover of 'Coordination Models and Languages'

Table of Contents

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    Book Overview
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    Chapter 1 CHOReVOLUTION: Hands-On In-Service Training for Choreography-Based Systems
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    Chapter 2 Choreographic Development of Message-Passing Applications
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    Chapter 3 ARx: Reactive Programming for Synchronous Connectors
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    Chapter 4 Towards Energy-, Time- and Security-Aware Multi-core Coordination
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    Chapter 5 Team Automata@Work: On Safe Communication
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    Chapter 6 Choreography Automata
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    Chapter 7 A Choreography-Driven Approach to APIs: The OpenDXL Case Study
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    Chapter 8 Implementing Multiparty Session Types in Rust
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    Chapter 9 GoPi: Compiling Linear and Static Channels in Go
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    Chapter 10 SFJ: An Implementation of Semantic Featherweight Java
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    Chapter 11 Event-Based Customization of Multi-tenant SaaS Using Microservices
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    Chapter 12 Quality of Service Ranking by Quantifying Partial Compliance of Requirements
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    Chapter 13 Time-Fluid Field-Based Coordination
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    Chapter 14 Resilient Distributed Collection Through Information Speed Thresholds
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    Chapter 15 Refined Mean Field Analysis: The Gossip Shuffle Protocol Revisited
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    Chapter 16 A True Concurrent Model of Smart Contracts Executions
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    Chapter 17 Renegotiation and Recursion in Bitcoin Contracts
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    Chapter 18 Architecture Modelling of Parametric Component-Based Systems
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    Chapter 19 Weighted PCL over Product Valuation Monoids
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    Chapter 20 Operational Representation of Dependencies in Context-Dependent Event Structures
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    Chapter 21 Towards a Formally Verified EVM in Production Environment
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    Chapter 22 On Implementing Symbolic Controllability
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    Chapter 23 Combining SLiVER with CADP to Analyze Multi-agent Systems
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    Chapter 24 Formal Modeling and Analysis of Medical Systems
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Title
Coordination Models and Languages
Published by
Springer International Publishing, August 2020
DOI 10.1007/978-3-030-50029-0
ISBNs
978-3-03-050028-3, 978-3-03-050029-0
Editors

Bliudze, Simon, Bocchi, Laura

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%