Felix Willnecker
Felix Willnecker
BMW Group
Verified email at tum.de - Homepage
TitleCited byYear
Performance-oriented DevOps: A research agenda
A Brunnert, A van Hoorn, F Willnecker, A Danciu, W Hasselbring, C Heger, ...
arXiv preprint arXiv:1508.04752, 2015
792015
Using dynatrace monitoring data for generating performance models of java ee applications
F Willnecker, A Brunnert, W Gottesheim, H Krcmar
Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015
232015
Comparing the accuracy of resource demand measurement and estimation techniques
F Willnecker, M Dlugi, A Brunnert, S Spinner, S Kounev, W Gottesheim, ...
European Workshop on Performance Engineering, 115-129, 2015
202015
Optimization of deployment topologies for distributed enterprise applications
F Willnecker, H Krcmar
2016 12th International ACM SIGSOFT Conference on Quality of Software …, 2016
142016
How is performance addressed in DevOps?
CP Bezemer, S Eismann, V Ferme, J Grohmann, R Heinrich, P Jamshidi, ...
Proceedings of the 2019 ACM/SPEC International Conference on Performance …, 2019
112019
Architekturen mobiler Multiplattform-Apps
F Willnecker, D Ismailović, W Maison
Smart Mobile Apps, 403-417, 2012
92012
CASPA: A platform for comparability of architecture-based software performance engineering approaches
TF Düllmann, R Heinrich, A van Hoorn, T Pitakrat, J Walter, F Willnecker
2017 IEEE International Conference on Software Architecture Workshops (ICSAW …, 2017
82017
PET: continuous performance evaluation tool
J Kroß, F Willnecker, T Zwickl, H Krcmar
Proceedings of the 2nd International Workshop on Quality-Aware DevOps, 42-43, 2016
82016
Full-stack performance model evaluation using probabilistic garbage collection simulation
F Willnecker, A Brunnert, B Koch-Kemper, H Krcmar
Proceedings of the 2015 Symposium on Software Performance (SSP 2015), 2015
82015
Predicting Energy Consumption by Extending the Palladio Component Model.
F Willnecker, A Brunnert, H Krcmar
SoSP, 177-188, 2014
72014
Model-based Energy Consumption Prediction for Mobile Applications.
F Willnecker, A Brunnert, H Krcmar
EnviroInfo, 747-752, 2014
72014
Performance-oriented devops: a research agenda. 2015
A Brunnert, A van Hoorn, F Willnecker, A Danciu, W Hasselbring, C Heger, ...
arXiv preprint arXiv:1508.04752, 0
4
Long-term power demand recording of running mobile applications
J Kindelsberger, F Willnecker, H Krcmar
2015 IEEE 10th International Conference on Global Software Engineering …, 2015
32015
Landscaping Performance Research at the ICPE and its Predecessors: A Systematic Literature Review
A Danciu, J Kroß, A Brunnert, F Willnecker, C Vögele, A Kapadia, ...
Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015
32015
Multi-Objective Optimization of Deployment Topologies for Distributed Applications
F Willnecker, H Krcmar
ACM Transactions on Internet Technology (TOIT) 18 (2), 1-21, 2018
12018
SiaaS: Simulation as a Service
F Willnecker, C Vögele, H Krcmar
Proceedings of the Symposium on Software Performance. GI-Softwaretechnik-Trends, 2016
12016
Machine Learning Assisted Position Detection of UHF RFID Tags
F Willnecker, I Anantavraslip, B Bruegge
Smart SysTech 2012; European Conference on Smart Objects, Systems and …, 2012
12012
Model-based prediction of automatic memory management and garbage collection behavior
F Willnecker, H Krcmar
Simulation Modelling Practice and Theory 93, 164-191, 2019
2019
Memory-aware Multi-Objective Optimization of Deployment Topologies for Distributed Applications
F Willnecker
Technische Universität München, 2018
2018
Towards Predicting Performance of GPU-dependent Applications on the Example of Machine Learning in Enterprise Applications
F Willnecker, H Krcmar
Softwaretechnik-Trends 37 (3), 2017
2017
The system can't perform the operation now. Try again later.
Articles 1–20