E-LIB Suche - Ergebnisse für: Siegmund, Norbert

1

Exploring Hyperparameter Usage and Tuning in Machine Learni..:

, In: 2023 IEEE/ACM 2nd International Conference on AI Engineering – Software Engineering for AI (CAIN),

Simon, Sebastian ; Kolyada, Nikolay ; Akiki, Christopher... - p. 68-79 , 2023

Link: https://doi.org/10.1109/..

2

Mastering uncertainty in performance estimations of configu..:

Dorn, Johannes ; Apel, Sven ; Siegmund, Norbert
Empirical Software Engineering. 28 (2023) 2 - p. , 2023

Link: https://doi.org/10.1007/..

3

Twins or False Friends? A Study on Energy Consumption and P..:

, In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE),

Weber, Max ; Kaltenecker, Christian ; Sattler, Florian.. - p. 2098-2110 , 2023

Link: https://doi.org/10.1109/..

4

SEAL: Integrating Program Analysis and Repository Mining:

Sattler, Florian ; Böhm, Sebastian ; Schubert, Philipp Dominik..
ACM Transactions on Software Engineering and Methodology. 32 (2023) 5 - p. 1-34 , 2023

Link: https://doi.org/10.1145/..

5

Analysing the Impact of Workloads on Modeling the Performan..:

, In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE),

Muhlbauer, Stefan ; Sattler, Florian ; Kaltenecker, Christian... - p. 2085-2097 , 2023

Link: https://doi.org/10.1109/..

6

Performance evolution of configurable software systems: an ..:

Kaltenecker, Christian ; Mühlbauer, Stefan ; Grebhahn, Alexander..
Empirical Software Engineering. 28 (2023) 6 - p. , 2023

Link: https://doi.org/10.1007/..

7

VEER: enhancing the interpretability of model-based optimiz..:

Peng, Kewen ; Kaltenecker, Christian ; Siegmund, Norbert..
Empirical Software Engineering. 28 (2023) 3 - p. , 2023

Link: https://doi.org/10.1007/..

8

Socio-Technical Anti-Patterns in Building ML-Enabled Softwa..:

, In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE),

Mailach, Alina ; Siegmund, Norbert - p. 690-702 , 2023

Link: https://doi.org/10.1109/..

9

CfgNet: A Framework for Tracking Equality-Based Configurati..:

Simon, Sebastian ; Ruckel, Nicolai ; Siegmund, Norbert
IEEE Transactions on Software Engineering. , 2023

Link: https://doi.org/10.1109/..

10

Green Configuration: Can Artificial Intelligence Help Reduc..:

Siegmund, Norbert ; Dorn, Johannes ; Weber, Max..
Computer. 55 (2022) 3 - p. 74-81 , 2022

Link: https://doi.org/10.1109/..

11

On debugging the performance of configurable software syste..:

, In: Proceedings of the 44th International Conference on Software Engineering,

Velez, Miguel ; Jamshidi, Pooyan ; Siegmund, Norbert.. - p. 1571-1583 , 2022

Link: https://dl.acm.org/doi/1..

12

On Debugging the Performance of Configurable Software Syste..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE),

Velez, Miguel ; Jamshidi, Pooyan ; Siegmund, Norbert.. - p. 1571-1583 , 2022

Link: https://doi.org/10.1145/..

13

White-Box Performance-Influence Models: A Profiling and Lea..:

, In: 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE),

Weber, Max ; Apel, Sven ; Siegmund, Norbert - p. 1059-1071 , 2021

Link: https://doi.org/10.1109/..

14

White-box performance-influence models : a profiling and..:

, In: Proceedings of the 43rd International Conference on Software Engineering: Companion Proceedings,

Weber, Max ; Apel, Sven ; Siegmund, Norbert - p. 232-233 , 2021

Link: https://dl.acm.org/doi/1..

15

White-Box Performance-Influence Models : A Profiling and..:

, In: Proceedings of the 43rd International Conference on Software Engineering,

Weber, Max ; Apel, Sven ; Siegmund, Norbert - p. 1059-1071 , 2021

Link: https://dl.acm.org/doi/1..