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Christian Kaltenecker
Christian Kaltenecker
Verified email at cs.uni-saarland.de
Title
Cited by
Cited by
Year
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
1032019
The interplay of sampling and machine learning for software performance prediction
C Kaltenecker, A Grebhahn, N Siegmund, S Apel
IEEE Software 37 (4), 58-66, 2020
612020
Green configuration: Can artificial intelligence help reduce energy consumption of configurable software systems?
N Siegmund, J Dorn, M Weber, C Kaltenecker, S Apel
Computer 55 (3), 74-81, 2022
102022
Analysing the Impact of Workloads on Modeling the Performance of Configurable Software Systems
S Mühlbauer, F Sattler, C Kaltenecker, J Dorn, S Apel, N Siegmund
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
82023
Twins or false friends? a study on energy consumption and performance of configurable software
M Weber, C Kaltenecker, F Sattler, S Apel, N Siegmund
2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023
62023
VEER: Disagreement-free multi-objective configuration
K Peng, C Kaltenecker, N Siegmund, S Apel, T Menzies
CoRR, 2021
52021
Comparison of analytical and empirical performance models: A case study on multigrid systems
C Kaltenecker
Masterthesis, University of Passau, Germany, 10, 2016
52016
Energy and performance evolution of configurable systems: Case studies and experiments
N Werner, S Apel, C Kaltenecker
Energy and Performance Evolution of Configurable Systems: Case Studies and …, 2019
32019
Lightweight, semi-automatic variability extraction: a case study on scientific computing
A Grebhahn, C Kaltenecker, C Engwer, N Siegmund, S Apel
Empirical Software Engineering 26, 1-22, 2021
22021
Performance evolution of configurable software systems: an empirical study
C Kaltenecker, S Mühlbauer, A Grebhahn, N Siegmund, S Apel
Empirical Software Engineering 28 (6), 152, 2023
12023
Is Performance a Reliable Proxy for Energy Consumption?
M Weber, C Kaltenecker, F Sattler, S Apel, N Siegmund
Software Engineering 2024 (SE 2024), 99-100, 2024
2024
Performance Sensitivity Across Configuration and Workload
S Mühlbauer, F Sattler, C Kaltenecker, J Dorn, S Apel, N Siegmund
Software Engineering 2024 (SE 2024), 113-114, 2024
2024
VEER: enhancing the interpretability of model-based optimizations
K Peng, C Kaltenecker, N Siegmund, S Apel, T Menzies
Empirical Software Engineering 28 (3), 61, 2023
2023
Black-box performance modeling of configurable software systems
C Kaltenecker
Saarländische Universitäts-und Landesbibliothek, 2023
2023
External Reviewers of ICSE 2020
S Abualhaija, J Aldrich, C Arora, S Benton, S Blackshear, T Brennan, ...
Twins or False Friends? A Study on Energy Consumption and Performance of Configurable Software (Replication Package)
M Weber, C Kaltenecker, F Sattler, S Apel, N Siegmund
Green Configuration: Can AI Help Reduce Energy Consumption of Configurable Software Systems?
N Siegmund, J Dorn, C Kaltenecker, S Apel
Workload Representativeness Estimation for Performance-Prediction Models
S Mühlbauer, C Kaltenecker, F Sattler, S Apel, N Siegmund
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