Matthias Becker

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	Toate	Din 2018
Referințe bibliografice	369	209
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Steffen BeckerProfessor für Softwarequalität und -architektur, Uni StuttgartAdresă de e-mail confirmată pe informatik.uni-stuttgart.de
Markus LuckeyUniversity of PaderbornAdresă de e-mail confirmată pe upb.de
Dr. Sebastian LehrigIBM GermanyAdresă de e-mail confirmată pe lehrig.de
Faruk PašićResearch Associate at Fraunhofer IEMAdresă de e-mail confirmată pe iem.fraunhofer.de
Marie C. Platenius-MohrABB Corporate ResearchAdresă de e-mail confirmată pe de.abb.com
Lorena Castañeda BuenoPhD CandidateAdresă de e-mail confirmată pe uvic.ca
Juan C. Muñoz-FernándezProfessor of Computer Science, Universidad Icesi - Phd Student, Paris 1 - Pantheon - SorbonneAdresă de e-mail confirmată pe icesi.edu.co
Robert HeinrichResearcher at Karlsruhe Institute of Technology (KIT)Adresă de e-mail confirmată pe kit.edu
Svetlana ArifulinaResearch assistent, University of PaderbornAdresă de e-mail confirmată pe uni-paderborn.de
Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityAdresă de e-mail confirmată pe upb.de
Ammar ShakerNEC Laboratories Europe GmbHAdresă de e-mail confirmată pe neclab.eu
Wilhelm SchaeferProfessor für Informatik Universität PaderbornAdresă de e-mail confirmată pe upb.de
Galina BesovaUniversity of PaderbornAdresă de e-mail confirmată pe mail.upb.de
Heike WehrheimUniversity of OldenburgAdresă de e-mail confirmată pe uni-oldenburg.de
Nina TaherimakhsousiPhD, Faculty of Science, Canada

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Matthias Becker

Fraunhofer IEM

Adresă de e-mail confirmată pe iem.fraunhofer.de - Pagina de pornire

Software Engineering Static Code Analysis Model-Driven Software Engineering Self-Adaptive Systems Software Performance Engin


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	73	2015
SimuLizar: Design-Time Modeling and Performance Analysis of Self-Adaptive Systems M Becker, S Becker, J Meyer Software Engineering 2013, 71-84, 2013	73	2013
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	72	2013
Model-Driven Performance Engineering of Self-Adaptive Systems: A Survey M Becker, M Luckey, S Becker QoSA’12, 117-122, 2012	47	2012
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	27	2020
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	16	2014
Approaching the Cloud: Using Palladio for Scalability, Elasticity, and Efficiency Analyses. S Lehrig, M Becker SoSP, 141-151, 2014	15	2014
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	12	2017
Engineering Self-Adaptive Systems with Simulation-Based Performance Prediction MW Becker	11	2017
Engineering Self-Adaptive Systems with Simulation-Based Performance Prediction M Becker Paderborn University, 2017	11	2017
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	9	2017
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	7	2019
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	5	2019
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	1	2014
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	1	2014
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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