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Formal Techniques for Distributed Objects, Components, and Systems

Overview of attention for book
Cover of 'Formal Techniques for Distributed Objects, Components, and Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Session Types for Link Failures
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    Chapter 2 Learning-Based Compositional Parameter Synthesis for Event-Recording Automata
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    Chapter 3 Modularising Opacity Verification for Hybrid Transactional Memory
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    Chapter 4 Proving Opacity via Linearizability: A Sound and Complete Method
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    Chapter 5 On Futures for Streaming Data in ABS
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    Chapter 6 Session-Based Concurrency, Reactively
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    Chapter 7 Procedural Choreographic Programming
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    Chapter 8 An Observational Approach to Defining Linearizability on Weak Memory Models
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    Chapter 9 Applying a Dependency Mechanism for Voting Protocol Models Using Event-B
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    Chapter 10 Weak Simulation Quasimetric in a Gossip Scenario
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    Chapter 11 Reasoning About Distributed Secrets
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    Chapter 12 Classical Higher-Order Processes
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    Chapter 13 Weak Nominal Modal Logic
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    Chapter 14 Type Inference of Simulink Hierarchical Block Diagrams in Isabelle
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    Chapter 15 Creating Büchi Automata for Multi-valued Model Checking
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    Chapter 16 Privacy Assessment Using Static Taint Analysis (Tool Paper)
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    Chapter 17 EPTL - A Temporal Logic for Weakly Consistent Systems (Short Paper)
Attention for Chapter 12: Classical Higher-Order Processes
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Citations

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Chapter title
Classical Higher-Order Processes
Chapter number 12
Book title
Formal Techniques for Distributed Objects, Components, and Systems
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-60225-7_12
Book ISBNs
978-3-31-960224-0, 978-3-31-960225-7
Authors

Fabrizio Montesi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Professor 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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