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Software Engineering for Resilient Systems

Overview of attention for book
Cover of 'Software Engineering for Resilient Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Preliminary Interdependency Analysis (PIA): Method and Tool Support
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    Chapter 2 Use Case Scenarios as Verification Conditions: Event-B/Flow Approach
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    Chapter 3 Quantitative Verification of System Safety in Event-B
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    Chapter 4 Experience-Based Model Refinement
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    Chapter 5 Architecting Resilient Computing Systems: Overall Approach and Open Issues
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    Chapter 6 Supporting Architectural Design Decisions Evolution through Model Driven Engineering
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    Chapter 7 On Enabling Dependability Assurance in Heterogeneous Networks through Automated Model-Based Analysis
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    Chapter 8 Supporting Cross-Language Exception Handling When Extending Applications with Embedded Languages
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    Chapter 9 Guaranteeing Correct Evolution of Software Product Lines: Setting Up the Problem
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    Chapter 10 Idealized Fault-Tolerant Components in Requirements Engineering
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    Chapter 11 Predictability and Evolution in Resilient Systems
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    Chapter 12 Self-organising Pervasive Ecosystems: A Crowd Evacuation Example
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    Chapter 13 Towards a Model-Driven Infrastructure for Runtime Monitoring
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    Chapter 14 Using Diversity in Cloud-Based Deployment Environment to Avoid Intrusions
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    Chapter 15 ‘Known Secure Sensor Measurements’ for Critical Infrastructure Systems: Detecting Falsification of System State
Attention for Chapter 11: Predictability and Evolution in Resilient Systems
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Chapter title
Predictability and Evolution in Resilient Systems
Chapter number 11
Book title
Software Engineering for Resilient Systems
Published by
Springer, Berlin, Heidelberg, September 2011
DOI 10.1007/978-3-642-24124-6_11
Book ISBNs
978-3-64-224123-9, 978-3-64-224124-6
Authors

Ivica Crnkovic

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Librarian 1 11%
Professor 1 11%
Other 1 11%
Student > Master 1 11%
Other 1 11%
Readers by discipline Count As %
Computer Science 8 89%
Business, Management and Accounting 1 11%