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Software Engineering for Self-Adaptive Systems III. Assurances

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Cover of 'Software Engineering for Self-Adaptive Systems III. Assurances'

Table of Contents

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    Book Overview
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    Chapter 1 Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances
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    Chapter 2 Perpetual Assurances for Self-Adaptive Systems
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    Chapter 3 Challenges in Composing and Decomposing Assurances for Self-Adaptive Systems
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    Chapter 4 What Can Control Theory Teach Us About Assurances in Self-Adaptive Software Systems?
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    Chapter 5 MCaaS: Model Checking in the Cloud for Assurances of Adaptive Systems
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    Chapter 6 Analyzing Self-Adaptation Via Model Checking of Stochastic Games
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    Chapter 7 An Approach for Isolated Testing of Self-Organization Algorithms
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    Chapter 8 Using Runtime Quantitative Verification to Provide Assurance Evidence for Self-Adaptive Software
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    Chapter 9 Contracts-Based Control Integration into Software Systems
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    Chapter 10 Synthesis of Distributed and Adaptable Coordinators to Enable Choreography Evolution
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    Chapter 11 Models for the Consistent Interaction of Adaptations in Self-Adaptive Systems
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    Chapter 12 Feedback Control as MAPE-K Loop in Autonomic Computing
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    Chapter 13 An Extended Description of MORPH: A Reference Architecture for Configuration and Behaviour Self-Adaptation
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    Chapter 14 MOSES: A Platform for Experimenting with QoS-Driven Self-Adaptation Policies for Service Oriented Systems
Attention for Chapter 11: Models for the Consistent Interaction of Adaptations in Self-Adaptive Systems
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Chapter title
Models for the Consistent Interaction of Adaptations in Self-Adaptive Systems
Chapter number 11
Book title
Software Engineering for Self-Adaptive Systems III. Assurances
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-74183-3_11
Book ISBNs
978-3-31-974182-6, 978-3-31-974183-3
Authors

Nicolás Cardozo, Kim Mens, Siobhán Clarke

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Lecturer 2 12%
Student > Bachelor 2 12%
Student > Master 2 12%
Professor 1 6%
Other 3 18%
Unknown 2 12%
Readers by discipline Count As %
Computer Science 12 71%
Business, Management and Accounting 1 6%
Engineering 1 6%
Unknown 3 18%

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