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Rigorous Methods for Software Construction and Analysis

Overview of attention for book
Cover of 'Rigorous Methods for Software Construction and Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Relaxing Restrictions on Invariant Composition in the B Method by Ownership Control a la Spec#
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    Chapter 2 Designing Old and New Distributed Algorithms by Replaying an Incremental Proof-Based Development
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    Chapter 3 Ten Reasons to Metamodel ASMs
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    Chapter 4 An ASM-Characterization of a Class of Distributed Algorithms
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    Chapter 5 Using Abstract State Machines for the Design of Multi-level Transaction Schedulers
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    Chapter 6 Validating and Animating Higher-Order Recursive Functions in B
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    Chapter 7 A Systematic Verification Approach for Mondex Electronic Purses Using ASMs
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    Chapter 8 Management of UML Clusters
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    Chapter 9 A Step towards Merging xUML and CSP ${\| \ }$ B
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    Chapter 10 CoreASM Plug-In Architecture
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    Chapter 11 JASMine : Accessing Java Code from CoreASM
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    Chapter 12 A Modular Verification Methodology for C# Delegates
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    Chapter 13 On the Evolution of OCL for Capturing Structural Constraints in Modelling Languages
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    Chapter 14 Ten Commandments Ten Years On: Lessons for ASM, B, Z and VSR-net
Attention for Chapter 14: Ten Commandments Ten Years On: Lessons for ASM, B, Z and VSR-net
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mendeley
6 Mendeley
Summary
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Chapter title
Ten Commandments Ten Years On: Lessons for ASM, B, Z and VSR-net
Chapter number 14
Book title
Rigorous Methods for Software Construction and Analysis
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-642-11447-2_14
Book ISBNs
978-3-64-211446-5, 978-3-64-211447-2
Authors

Jonathan P. Bowen, Michael G. Hinchey

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Mendeley readers

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 %
United Kingdom 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 2 33%
Professor 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Computer Science 6 100%

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