Matthias Becker
Matthias Becker
Fraunhofer IEM
Vahvistettu sähköpostiosoite verkkotunnuksessa iem.fraunhofer.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Systematically deriving quality metrics for cloud computing systems
M Becker, S Lehrig, S Becker
Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015
562015
Performance Analysis of Self-Adaptive Systems for Requirements Validation at Design-Time
M Becker, M Luckey, S Becker
9th ACM SigSoft International Conference on Quality of Software …, 2013
562013
SimuLizar: Design-Time Modeling and Performance Analysis of Self-Adaptive Systems
M Becker, S Becker, J Meyer
Software Engineering 2013, 71-84, 2013
512013
Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey
M Becker, M Luckey, S Becker
QoSA’12, 117-122, 2012
432012
SeSAME: modeling and analyzing high-quality service compositions
S Arifulina, S Walther, M Becker, MC Platenius
Proceedings of the 29th ACM/IEEE international conference on Automated …, 2014
152014
Approaching the Cloud: Using Palladio for Scalability, Elasticity, and Efficiency Analyses.
S Lehrig, M Becker
SoSP, 141-151, 2014
142014
Imprecise Matching of Requirements Specifications for Software Services Using Fuzzy Logic
MC Platenius, A Shaker, M Becker, E Huellermeier, W Schaefer
IEEE Transactions on Software Engineering 43 (8), 739-759, 2017
102017
Monitoring and control of production processes based on key performance indicators for mechatronic systems
B Wohlers, S Dziwok, F Pasic, A Lipsmeier, M Becker
International Journal of Production Economics 220, 107452, 2020
92020
Capturing Ambiguity in Artifacts to Support Requirements Engineering for Self-Adaptive Systems
J Muñoz-Fernández, A Knauss, L Castañeda, M Derakhshanmanesh, ...
RESACS: 3rd International Workshop on Requirements Engineering for Self …, 2017
62017
Engineering Self-Adaptive Systems with Simulation-Based Performance Prediction
MW Becker
42017
Engineering Self-Adaptive Systems with Simulation-Based Performance Prediction
M Becker
Paderborn University, 2017
42017
A KPI-based condition monitoring system for the beer brewing process
F Pasic, B Wohlers, S Dziwok, M Becker, M Heinrich
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
32019
Towards a KPI-based ontology for condition monitoring of automation systems
F Pasic, B Wohlers, M Becker
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
22019
Cloud Computing Reduces Uncertainties in Quality-of-Service Matching!
M Becker, MC Platenius, S Becker
European Conference on Service-Oriented and Cloud Computing, 153-159, 2014
12014
2.3 Artifact-Centric Requirements Engineering for Self-Adaptive Systems
A Knauss, JC Muñoz-Fernández, L Castañeda, M Becker, ...
Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self …, 2014
12014
3.3 Engineering Resource-Efficient and Elastic Self-Adaptive Systems
M Becker
Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self …, 2014
2014
Context Model for Adaptive Systems
M Becker
University of Paderborn, 2011
2011
Towards Systematic Configuration for Architecture Validation
M Becker, S Becker, G Besova, S Walther, H Wehrheim
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Artikkelit 1–18