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Implicit and Explicit Semantics Integration in Proof-Based Developments of Discrete Systems

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Table of Contents

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    Book Overview
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    Chapter 1 Modelling an E-Voting Domain for the Formal Development of a Software Product Line: When the Implicit Should Be Made Explicit
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    Chapter 2 Domain-Specific Developments Using Rodin Theories
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    Chapter 3 Integrating Domain Modeling Within a Formal Requirements Engineering Method
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    Chapter 4 Operations over Lightweight Ontologies and Their Implementation
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    Chapter 5 Formal Ontological Analysis for Medical Protocols
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    Chapter 6 Deriving Implicit Security Requirements in Safety-Explicit Formal Development of Control Systems
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    Chapter 7 Towards an Integration of Probabilistic and Knowledge-Based Data Analysis Using Probabilistic Knowledge Patterns
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    Chapter 8 An Explicit Semantics for Event-B Refinements
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    Chapter 9 Contextual Dependency in State-Based Modelling
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    Chapter 10 Configuration of Complex Systems—Maintaining Consistency at Runtime
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    Chapter 11 Towards Making Safety Case Arguments Explicit, Precise, and Well Founded
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    Chapter 12 The Indefeasibility Criterion for Assurance Cases
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    Chapter 13 An Event-B Development Process for the Distributed BIP Framework
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    Chapter 14 Explicit Exploration of Refinement Design in Proof-Based Approach: Refinement Engineering in Event-B
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    Chapter 15 Constructing Rigorous Sketches for Refinement-Based Formal Development: An Application to Android
Attention for Chapter 1: Modelling an E-Voting Domain for the Formal Development of a Software Product Line: When the Implicit Should Be Made Explicit
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Chapter title
Modelling an E-Voting Domain for the Formal Development of a Software Product Line: When the Implicit Should Be Made Explicit
Chapter number 1
Book title
Implicit and Explicit Semantics Integration in Proof-Based Developments of Discrete Systems
Published by
Springer, Singapore, January 2021
DOI 10.1007/978-981-15-5054-6_1
Book ISBNs
978-9-81-155053-9, 978-9-81-155054-6
Authors

J. Paul Gibson, Jean-Luc Raffy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Unknown 4 80%
Readers by discipline Count As %
Computer Science 1 20%
Unknown 4 80%