A Classification Framework of Uncertainty in Architecture-Based Self-Adaptive Systems with Multiple Quality Requirements
2017 (English)In: Managing Trade-offs in Adaptable Software Architectures / [ed] Ivan Mistrík, Nour Ali, John Grundy, Kazman Rick, Grundy John, Schmerl Bradley, Elsevier, 2017, 1, p. 45-77Chapter in book (Refereed)
Abstract [en]
Context The underlying uncertainty in self-adaptive systems aggravates the complexity of selecting best adaptation action alternative, and handling requirements trade-offs. To efficiently tackle uncertainty, it is necessary to have a comprehensive overview of different types of uncertainty and their specifications. Objective In this paper we aim at (a) reviewing the state-of-the-art of architecture-based approaches tackling uncertainty in self-adaptive systems with multiple quality requirements, (b) proposing a classification framework for this domain, and (c) classifying the current approaches according to this framework. Method We conducted a systematic literature review by performing an automatic search on twenty seven selected venues and books in the domain of self-adaptive systems. Results We propose a classification framework for uncertainty and its sources in the domain of architecture-based self-adaptive systems with multiple quality requirements. We map 51 identified primary studies into the framework and present the classified results. Conclusions Our results help researchers to understand the current state of research regarding uncertainty in architecture-based self-adaptive systems with multiple concerns, and identity areas for improvement in the future. © 2017 Elsevier Inc. All rights reserved.
Place, publisher, year, edition, pages
Elsevier, 2017, 1. p. 45-77
Keywords [en]
Architecture-based self-adaptation, Quality requirements, Self-adaptation, Uncertainty, Uncertainty dimensions
National Category
Software Engineering
Research subject
Computer Science, Software Technology
Identifiers
URN: urn:nbn:se:lnu:diva-51896DOI: 10.1016/B978-0-12-802855-1.00003-4ISI: 000402906100008Scopus ID: 2-s2.0-85133915341ISBN: 9780128028551 (print)OAI: oai:DiVA.org:lnu-51896DiVA, id: 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
2016-04-012016-04-012024-02-09Bibliographically approved