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Model Checking Software

Overview of attention for book
Cover of 'Model Checking Software'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Analysis of Asynchronously Communicating Systems
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    Chapter 2 Symbolic Game Semantics for Model Checking Program Families
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    Chapter 3 Compositional Semantics and Analysis of Hierarchical Block Diagrams
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    Chapter 4 Using SPIN for the Optimized Scheduling of Discrete Event Systems in Manufacturing
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    Chapter 5 River Basin Management with Spin
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    Chapter 6 ESBMC \(^{QtOM}\) : A Bounded Model Checking Tool to Verify Qt Applications
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    Chapter 7 Autonomous Agent Behaviour Modelled in PRISM – A Case Study
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    Chapter 8 Certification for \(\mu \) -Calculus with Winning Strategies
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    Chapter 9 Real-Time Strategy Synthesis for Timed-Arc Petri Net Games via Discretization
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    Chapter 10 Finite-Horizon Bisimulation Minimisation for Probabilistic Systems
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    Chapter 11 Schedulability Analysis of Distributed Real-Time Sensor Network Applications Using Actor-Based Model Checking
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    Chapter 12 smid: A Black-Box Program Driver
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    Chapter 13 On-the-Fly Model Checking for Extended Action-Based Probabilistic Operators
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    Chapter 14 SymDIVINE: Tool for Control-Explicit Data-Symbolic State Space Exploration
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    Chapter 15 A Tool Integrating Model Checking into a C Verification Toolset
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    Chapter 16 Fair Testing and Stubborn Sets
Overall attention for this book and its chapters
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Mentioned by

1 news outlet
2 tweeters


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Readers on

6 Mendeley
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Model Checking Software
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-32582-8
978-3-31-932581-1, 978-3-31-932582-8

Dragan Bošnački, Anton Wijs

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 17%
Student > Ph. D. Student 1 17%
Unknown 4 67%
Readers by discipline Count As %
Engineering 2 33%
Nursing and Health Professions 1 17%
Unknown 3 50%