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Context-aware DSPLs: model-based runtime adaptation for resource-constrained systems

Saller, Karsten and Lochau, Malte and Reimund, Ingo (2013):
Context-aware DSPLs: model-based runtime adaptation for resource-constrained systems.
In: SPLC '13 Workshops, pp. 106-113, New York, NY, USA, ACM, 17th International Software Product Line Conference co-located workshops, ISBN 978-1-4503-2325-3,
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Saller, Karsten and Lochau, Malte and Reimund, Ingo
Title: Context-aware DSPLs: model-based runtime adaptation for resource-constrained systems
Language: English
Series Name: SPLC '13 Workshops
Place of Publication: New York, NY, USA
Publisher: ACM
ISBN: 978-1-4503-2325-3
Uncontrolled Keywords: DSPL, adaptive systems, contexts, feature models, state space reduction
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Real-Time Systems
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
Zentrale Einrichtungen
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > B: Adaptation Mechanisms
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > B: Adaptation Mechanisms > Subpproject B1: Monitoring and Analysis
Event Title: 17th International Software Product Line Conference co-located workshops
Date Deposited: 07 Feb 2014 09:43
Official URL: http://doi.acm.org/10.1145/2499777.2500716
Identification Number: MAKI-2013-001
Projects: es_MAKI
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