lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Classification Framework of Uncertainty in Architecture-Based Self-Adaptive Systems with Multiple Quality Requirements
Linnaeus University, Faculty of Technology, Department of Computer Science. University of Groningen, The Netherlands. (AdaptWise)
University of Groningen, The Netherlands.
Linnaeus University, Faculty of Technology, Department of Computer Science. (Software Technology Labs)ORCID iD: 0000-0002-1162-0817
2016 (English)In: Managing Trade-offs in Adaptable Software Architectures / [ed] Ivan Mistrík, Nour Ali, John Grundy, Kazman Rick, Grundy John, Schmerl Bradley, Elsevier, 2016, 1, 45-78 p.Chapter in book (Refereed)
Place, publisher, year, edition, pages
Elsevier, 2016, 1. 45-78 p.
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-51896ISBN: 9780128028551 (print)OAI: oai:DiVA.org:lnu-51896DiVA: diva2:916413
Note

About the book

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 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 engineeringCovers validation, verification, security, and quality assurance in system designDiscusses domain-specific software engineering issues for cloud-based, mobile, context-sensitive, cyber-physical, ultra-large-scale/internet-scale systems, mash-up and autonomic systemsIncludes practical case studies of complex, adaptive and context-critical systems

Available from: 2016-04-01 Created: 2016-04-01 Last updated: 2017-03-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's info about book

Search in DiVA

By author/editor
Mahdavi-Hezavehi, SaraWeyns, Danny
By organisation
Department of Computer Science
Software Engineering

Search outside of DiVA

GoogleGoogle Scholar

Total: 159 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf