Assurances for Self-Adaptive Systems Principles, Models, and Techniques - nuovo livro

EAN (ISBN-13): 9783642362484
ISBN (ISBN-10): 3642362486
Livro de bolso
Ano de publicação: 2013
Editor/Editora: Springer Berlin Heidelberg

Livro na base de dados desde 2013-11-23T09:10:08-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-11-11T10:58:49-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642362484

Número ISBN - Ortografia alternativa:
3-642-36248-6, 978-3-642-36248-4
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: lem, lemos, lopes, ghe, carl roger, camara, ghezzi, carlo antoni
Título do livro: assur, ada, adaptiv, principles systems science, principles system science, software engineering for self adaptive systems, programming for engineering and science

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Dados da editora

Autor: Javier Cámara; Rogério de Lemos; Carlo Ghezzi; Antonia Lopes
Título: Lecture Notes in Computer Science; Programming and Software Engineering; Assurances for Self-Adaptive Systems - Principles, Models, and Techniques
Editora: Springer; Springer Berlin
341 Páginas
Ano de publicação: 2013-01-09
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
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