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Title Managing trade-offs in adaptable software architectures / edited by Ivan MIstrik, Nour Ali, Rick Kazman, John Grundy, Bradley Schmerl.

Publication Info. Cambridge, MA : Morgan Kaufmann is an imprint of Elsevier, [2016]
©2017

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Contents Front Cover; Managing Trade-offs in Adaptable Software Architectures; Copyright; Contents; Contributors; About the Editors; Foreword by David Garlan; Foreword by Nenad Medvidovic Behold the Golden Age of Software Architecture; References; Foreword by Paris Avgeriou; Foreword by Rogério de Lemos; Preface; Introduction; Part I: Concepts and Models for Self-Adaptive Software Architectures; Part II: Analyzing and Evaluating Trade-offs in Self-Adaptive Software Architectures; Part III: Managing Trade-offs in Self-Adaptive Software Architectures.
Part IV: Quality Assurance in Self-Adaptive Software ArchitecturesChapter 1: Managing Trade-Offs in Adaptable Software Architectures; 1.1. Introduction; 1.2. Background; 1.3. Trade-Offs in Adaptive Systems Design; 1.4. Runtime Trade-Offs in Self-Adaptive Systems; 1.5. Challenges and the Road Ahead; 1.5.1. How to Architect for Adaptability?; 1.5.2. Adaptability in Modern Systems; 1.5.2.1. Cloud computing; 1.5.2.2. Service-based adaptation to QoS; 1.5.2.3. Cyber-physical systems; References; Part I: Concepts and Models for Self-Adaptive Software Architectures.
Chapter 2: Architecting Software Systems for Runtime Self-Adaptation: Concepts, Models, and Challenges2.1. Introduction; 2.2. Motivation: A Web-Mashup Application; 2.3. Adaptation vs. Self-Adaptation; 2.3.1. Basic Definitions; 2.3.2. Architecting Software for Adaptation and Self-Adaptation; 2.3.2.1. Architecting for adaptation; 2.3.2.2. Architecting for self-adaptation; 2.3.2.3. Implications of self-adaptation; 2.4. Foundational Concepts for Architecting Self-Adaptive Software; 2.4.1. Fundamental Dimensions of Self-Adaptive Software; 2.4.2. Self-Adaptation Goals.
2.4.2.1. Self-properties as self-adaptation goals2.4.2.2. Nonfunctional requirements as self-adaptation goals; 2.4.3. Self-Adaptation Fundamental Properties; 2.4.4. Sensors and Effectors; 2.4.5. Uncertainty and Dynamic Context; 2.5. Reference Models for Architecting Self-Adaptive Software; 2.5.1. The Feedback Loop Model of Control Theory; 2.5.2. The MAPE-K Model; 2.5.3. Kramer and Magees Self-Management Reference Model; 2.5.4. The DYNAMICO Reference Model; 2.5.4.1. The control objectives feedback loop (CO-FL); 2.5.4.2. The adaptation feedback loop (A-FL).
2.5.4.3. The context monitoring feedback loop (M-FL)2.5.5. The Autonomic Computing Reference Architecture (ACRA); 2.6. Major Architectural Challenges in Self-Adaptation; 2.7. Summary; References; Chapter 3: A Classification Framework of Uncertainty in Architecture-Based Self-Adaptive Systems With Multiple Quality Re ... ; 3.1. Introduction; 3.1.1. Background; 3.1.1.1. Self-adaptive systems; 3.1.1.2. Architecture-based self-adaptation; 3.1.1.3. Architecture-based self-adaptive systems with multiple quality requirements; 3.1.1.4. Uncertainty in architecture-based self-adaptive systems.
Note Includes index.
Online resource; title from PDF title page (SpringerLink, viewed August 25, 2016).
Summary Managing Trade-Offs in Adaptable Software Architectures explores the latest research on adapting large complex systems to changing requirements. To be able to adapt a system, engineers must evaluate different quality attributes, including trade-offs to balance functional and quality requirements to maintain a well-functioning system throughout the lifetime of the system. This comprehensive resource brings together research focusing on how to manage trade-offs and architect adaptive systems in different business contexts. It presents state-of-the-art techniques, methodologies, tools, best practices, and guidelines for developing adaptive systems, and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to, how to architect a system for adaptability, software architecture for self-adaptive systems, understanding and balancing the trade-offs involved, architectural patterns for self-adaptive systems, how quality attributes are exhibited by the architecture of the system, how to connect the quality of a software architecture to system architecture or other system considerations, and more. Explains software architectural processes and metrics supporting highly adaptive and complex engineering Covers validation, verification, security, and quality assurance in system design Discusses domain-specific software engineering issues for cloud-based, mobile, context-sensitive, cyber-physical, ultra-large-scale/internet-scale systems, mash-up, and autonomic systems Includes practical case studies of complex, adaptive, and context-critical systems.
Subject Software architecture.
Architecture logicielle.
COMPUTERS -- Systems Architecture -- General.
Software architecture. (OCoLC)fst01200416
Genre/Form Programming; Software Development & Engineering.
Added Author Mistrík, Ivan, editor.
Ali, Nour, editor.
Kazman, Rick, editor.
Grundy, John, editor.
Schmerl, Bradley, editor.
ISBN 9780128028919 (electronic bk.)
0128028912 (electronic bk.)
9780128028551 (print)
Standard No. AU@ 000058584548
AU@ 000059632846
CHNEW 001013745
DEBSZ 482472960
GBVCP 879399252
AU@ 000058561937

 
    
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