Norbert Siegmund
Norbert Siegmund
Professor of Computer Science, Leipzig University
Verified email at - Homepage
Cited by
Cited by
Predicting performance via automated feature-interaction detection
N Siegmund, SS Kolesnikov, C Kästner, S Apel, D Batory, M Rosenmüller, ...
2012 34th International Conference on Software Engineering (ICSE), 167-177, 2012
Performance-influence models for highly configurable systems
N Siegmund, A Grebhahn, S Apel, C Kästner
Proceedings of the International Symposium on Foundations of Software …, 2015
Views on internal and external validity in empirical software engineering
J Siegmund, N Siegmund, S Apel
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1, 9-19, 2015
SPL Conqueror: Toward optimization of non-functional properties in software product lines
N Siegmund, M Rosenmüller, M Kuhlemann, C Kästner, S Apel, G Saake
Software Quality Journal 20, 487-517, 2012
Variability-aware performance prediction: A statistical learning approach
J Guo, K Czarnecki, S Apel, N Siegmund, A Wąsowski
2013 28th IEEE/ACM International Conference on Automated Software …, 2013
Abstract features in feature modeling
T Thum, C Kastner, S Erdweg, N Siegmund
2011 15th International Software Product Line Conference, 191-200, 2011
Cost-efficient sampling for performance prediction of configurable systems (t)
A Sarkar, J Guo, N Siegmund, S Apel, K Czarnecki
2015 30th IEEE/ACM International Conference on Automated Software …, 2015
Finding near-optimal configurations in product lines by random sampling
J Oh, D Batory, M Myers, N Siegmund
Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017
Finding Faster Configurations Using FLASH
V Nair, Z Yu, T Menzies, N Siegmund, S Apel
IEEE Transactions on Software Engineering 46 (7), 794-811, 2018
Using bad learners to find good configurations
V Nair, T Menzies, N Siegmund, S Apel
Proceedings of the 2017 11th joint meeting on foundations of software …, 2017
Gpu-accelerated database systems: Survey and open challenges
S Breß, M Heimel, N Siegmund, L Bellatreche, G Saake
Transactions on Large-Scale Data-and Knowledge-Centered Systems XV: Selected …, 2014
Transfer learning for performance modeling of configurable systems: An exploratory analysis
P Jamshidi, N Siegmund, M Velez, C Kästner, A Patel, Y Agarwal
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
Scalable prediction of non-functional properties in software product lines: Footprint and memory consumption
N Siegmund, M Rosenmüller, C Kästner, PG Giarrusso, S Apel, ...
Information and Software Technology 55 (3), 491-507, 2013
Transfer learning for improving model predictions in highly configurable software
P Jamshidi, M Velez, C Kästner, N Siegmund, P Kawthekar
2017 IEEE/ACM 12th International Symposium on Software Engineering for …, 2017
Data-efficient performance learning for configurable systems
J Guo, D Yang, N Siegmund, S Apel, A Sarkar, P Valov, K Czarnecki, ...
Empirical Software Engineering 23, 1826-1867, 2018
Exploring feature interactions in the wild: the new feature-interaction challenge
S Apel, S Kolesnikov, N Siegmund, C Kästner, B Garvin
Proceedings of the 5th international workshop on feature-oriented software …, 2013
Multi-dimensional variability modeling
M Rosenmüller, N Siegmund, T Thüm, G Saake
Proceedings of the 5th International Workshop on Variability Modeling of …, 2011
Automating the Configuration of Multi Software Product Lines.
M Rosenmüller, N Siegmund
VaMoS 10, 123-130, 2010
Distance-based sampling of software configuration spaces
C Kaltenecker, A Grebhahn, N Siegmund, J Guo, S Apel
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
FAME-DBMS: tailor-made data management solutions for embedded systems
M Rosenmüller, N Siegmund, H Schirmeier, J Sincero, S Apel, T Leich, ...
Proceedings of the 2008 EDBT workshop on Software engineering for tailor …, 2008
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