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Software Engineering for Self-Adaptive Systems III. Assurances
other
Editor(s):
Rogério de Lemos
,
David Garlan
,
Carlo Ghezzi
,
Holger Giese
Publication date
(Print):
2017
Publisher:
Springer International Publishing
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Genomic Prediction: Software
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Book
ISBN (Print):
978-3-319-74182-6
ISBN (Electronic):
978-3-319-74183-3
Publication date (Print):
2017
DOI:
10.1007/978-3-319-74183-3
SO-VID:
61b85e21-f0ec-4ea6-862d-46fad7e58cac
License:
http://www.springer.com/tdm
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Book chapters
pp. 3
Software Engineering for Self-Adaptive Systems: Research Challenges in the Provision of Assurances
pp. 31
Perpetual Assurances for Self-Adaptive Systems
pp. 64
Challenges in Composing and Decomposing Assurances for Self-Adaptive Systems
pp. 90
What Can Control Theory Teach Us About Assurances in Self-Adaptive Software Systems?
pp. 137
MCaaS: Model Checking in the Cloud for Assurances of Adaptive Systems
pp. 154
Analyzing Self-Adaptation Via Model Checking of Stochastic Games
pp. 188
An Approach for Isolated Testing of Self-Organization Algorithms
pp. 223
Using Runtime Quantitative Verification to Provide Assurance Evidence for Self-Adaptive Software
pp. 251
Contracts-Based Control Integration into Software Systems
pp. 282
Synthesis of Distributed and Adaptable Coordinators to Enable Choreography Evolution
pp. 307
Models for the Consistent Interaction of Adaptations in Self-Adaptive Systems
pp. 349
Feedback Control as MAPE-K Loop in Autonomic Computing
pp. 377
An Extended Description of MORPH: A Reference Architecture for Configuration and Behaviour Self-Adaptation
pp. 409
MOSES: A Platform for Experimenting with QoS-Driven Self-Adaptation Policies for Service Oriented Systems
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