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On Automated Anomaly Detection for Potentially Unbounded Cardinality-based Feature Models

Weckesser, Markus and Lochau, Malte and Schnabel, Thomas and Björn, Richerzhagen and Andy, Schürr :
On Automated Anomaly Detection for Potentially Unbounded Cardinality-based Feature Models.
In: Software Engineering 2017, Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-24. Februar 2017, Hannover, Deutschland.
[Conference or Workshop Item] , (2017)

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Weckesser, Markus and Lochau, Malte and Schnabel, Thomas and Björn, Richerzhagen and Andy, Schürr
Title: On Automated Anomaly Detection for Potentially Unbounded Cardinality-based Feature Models
Language: German
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
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 > A: Construction Methodology
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A4: Self-Adaptation
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: Software Engineering 2017, Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-24. Februar 2017, Hannover, Deutschland
Date Deposited: 31 Mar 2017 14:58
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