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Formal Methods for Industrial Critical Systems

Overview of attention for book
Cover of 'Formal Methods for Industrial Critical Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Generative Model Driven Design for Agile System Design and Evolution: A Tale of Two Worlds
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    Chapter 2 Building Correct Cyber-Physical Systems: Why We Need a Multiview Contract Theory
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    Chapter 3 Automated Functional Safety Analysis of Automated Driving Systems
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    Chapter 4 Safety Interlocking as a Distributed Mutual Exclusion Problem
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    Chapter 5 Checking Consistency of Real-Time Requirements on Distributed Automotive Control Software Early in the Development Process Using UPPAAL
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    Chapter 6 Formal Verification of a Programmable Hypersurface
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    Chapter 7 Modelling and Analysing ERTMS Hybrid Level 3 with the mCRL2 Toolset
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    Chapter 8 Progress Checking for Dummies
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    Chapter 9 Virtual Integration for Pattern-Based Contracts with the Kind2 Model Checker
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    Chapter 10 Active Mining of Document Type Definitions
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    Chapter 11 Adaptive Learning for Learn-Based Regression Testing
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    Chapter 12 Predicate Abstraction and Such...
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    Chapter 13 Compositional Verification in Action
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    Chapter 14 A Note on Refinement in Hierarchical Transition Systems
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    Chapter 15 M 3 C : Modal Meta Model Checking
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    Chapter 16 Wholly! : A Build System For The Modern Software Stack
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    Chapter 17 A Modeling Language for Security Threats of IoT Systems
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    Chapter 18 Revisiting Bounded Reachability Analysis of Timed Automata Based on MILP
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    Chapter 19 Evaluation and Comparison of Real-Time Systems Analysis Methods and Tools
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3 tweeters

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Title
Formal Methods for Industrial Critical Systems
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-030-00244-2
ISBNs
978-3-03-000243-5, 978-3-03-000244-2
Editors

Howar, Falk, Barnat, Jiří

Twitter Demographics

The data shown below were collected from the profiles of 3 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 36%
Student > Ph. D. Student 5 18%
Researcher 4 14%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 4 14%
Unknown 1 4%
Readers by discipline Count As %
Engineering 11 39%
Computer Science 7 25%
Energy 1 4%
Environmental Science 1 4%
Social Sciences 1 4%
Other 2 7%
Unknown 5 18%