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Assurances for Self-Adaptive Systems Principles, Models, and Techniques - Cámara, Javier (Herausgeber); Lopes, Antonia (Herausgeber); Ghezzi, Carlo (Herausgeber); de Lemos, Rogério (Herausgeber)
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2013, ISBN: 3642362486

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Assurances for Self-Adaptive Systems: Principles, Models, and Techniques (Lecture Notes in Computer Science / Programming and Software Engineering) - Livres de poche

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Assurances for Self-Adaptive Systems : Principles, Models, and Techniques - Cámara, Javier
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Assurances for Self-Adaptive Systems

Assurances for Self-Adaptive Systems The increasing complexity of systems and the growing uncertainty in their operational environments have created a critical need to develop systems able to improve their operation, adapt to change, and recover from failures autonomously. This situation has led to recent advances in self-adaptive systems able to reconfigure their structure and modify their behavior at run-time to adapt to environmental changes. Despite these advances, one key aspect of self-adaptive systems that remains to be tackled in depth is "assurances": the provision of evidence that the system satisfies its stated functional and non-functional requirements during its operation in the pr...

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EAN (ISBN-13): 9783642362484
ISBN (ISBN-10): 3642362486
Livre de poche
Date de parution: 2013
Editeur: Springer Berlin Heidelberg

Livre dans la base de données depuis 2013-11-23T12:10:08+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-11-11T14:58:49+01:00 (Zurich)
ISBN/EAN: 9783642362484

ISBN - Autres types d'écriture:
3-642-36248-6, 978-3-642-36248-4
Autres types d'écriture et termes associés:
Auteur du livre: lem, lemos, lopes, ghe, carl roger, camara, ghezzi, carlo antoni
Titre du livre: assur, ada, adaptiv, principles systems science, principles system science, software engineering for self adaptive systems, programming for engineering and science


Données de l'éditeur

Auteur: Javier Cámara; Rogério de Lemos; Carlo Ghezzi; Antonia Lopes
Titre: Lecture Notes in Computer Science; Programming and Software Engineering; Assurances for Self-Adaptive Systems - Principles, Models, and Techniques
Editeur: Springer; Springer Berlin
341 Pages
Date de parution: 2013-01-09
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
X, 341 p. 94 illus.

BC; Hardcover, Softcover / Informatik, EDV/Informatik; Software Engineering; Verstehen; cloud computing; model checking; model-driven development; software engineering; system reconfiguration; Software Engineering; Computer Science Logic and Foundations of Programming; Compilers and Interpreters; Computer Communication Networks; Operating Systems; Theoretische Informatik; Compiler und Übersetzer; Netzwerk-Hardware; Betriebssysteme; EA

The increasing complexity of systems and the growing uncertainty in their operational environments have created a critical need to develop systems able to improve their operation, adapt to change, and recover from failures autonomously. This situation has led to recent advances in self-adaptive systems able to reconfigure their structure and modify their behavior at run-time to adapt to environmental changes. Despite these advances, one key aspect of self-adaptive systems that remains to be tackled in depth is "assurances": the provision of evidence that the system satisfies its stated functional and non-functional requirements during its operation in the presence of self-adaptation. This book is one of the outcomes of the ESEC/FSE 2011 Workshop on Assurances for Self-Adaptive Systems (ASAS), held in Szeged, Hungary, in September 2011. It contains extended versions of some of the papers presented during the workshop, as well as invited papers from recognized experts. The 12 refereed papers were thoroughly reviewed and selected. The book consists of four parts: formal verification, models and middleware, failure prediction, and assurance techniques.
Contains papers from recognized experts Valuable for both practitioners and researchers Stepping stone for future research

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9783642362491 Assurances for Self-Adaptive Systems (Springer)


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