Modeling and Managing Context-Aware Systems' Variability

This theme issue provides an updated perspective on techniques to manage software system variability at runtime, to make software systems smarter and less dependent on human intervention.

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Veröffentlicht in:IEEE software Jg. 34; H. 6; S. 58 - 63
Hauptverfasser: Mens, Kim, Capilla, Rafael, Hartmann, Herman, Kropf, Thomas
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos IEEE 01.11.2017
IEEE Computer Society
Schlagworte:
connected cars
context analysis
context awareness
context-aware systems
context-oriented programming
contextual-variability modeling
feature-oriented programming
Mobile communications networks
object-oriented systems
runtime variability
software development
software engineering
system variability
ISSN:0740-7459, 1937-4194
Online-Zugang:Volltext
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Zusammenfassung:This theme issue provides an updated perspective on techniques to manage software system variability at runtime, to make software systems smarter and less dependent on human intervention.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2017.4121225