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Software-Intensive Systems and New Computing Paradigms

Overview of attention for book
Cover of 'Software-Intensive Systems and New Computing Paradigms'

Table of Contents

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    Book Overview
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    Chapter 1 Engineering of Software-Intensive Systems: State of the Art and Research Challenges
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    Chapter 2 Software Engineering for Ensembles
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    Chapter 3 Change-Enabled Software Systems
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    Chapter 4 On the Challenge of Engineering Socio-technical Systems
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    Chapter 5 Design of Complex Cyber Physical Systems with Formalized Architectural Patterns
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    Chapter 6 Cyber-Physical Systems and Events
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    Chapter 7 Design and Deployment of Large-Scale Software-Intensive Systems in Urban Districts
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    Chapter 8 Formal Ensemble Engineering
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    Chapter 9 Structured Interacting Computations
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    Chapter 10 Extending Formal Methods for Software-Intensive Systems
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    Chapter 11 Ensemble Engineering and Emergence
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    Chapter 12 Mathematical Support for Ensemble Engineering
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    Chapter 13 Behaviour Equivalences in Timed Distributed π -Calculus
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    Chapter 14 The Chemical Reaction Model Recent Developments and Prospects
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    Chapter 15 Spatial Organization of the Chemical Paradigm and the Specification of Autonomic Systems
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    Chapter 16 Emerging Models of Computation: Directions in Molecular Computing
Attention for Chapter 13: Behaviour Equivalences in Timed Distributed π -Calculus
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Citations

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Chapter title
Behaviour Equivalences in Timed Distributed π -Calculus
Chapter number 13
Book title
Software-Intensive Systems and New Computing Paradigms
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-89437-7_13
Book ISBNs
978-3-54-089436-0, 978-3-54-089437-7
Authors

Gabriel Ciobanu

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 100%
Readers by discipline Count As %
Computer Science 2 100%

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