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Helge Spieker
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Reinforcement learning for automatic test case prioritization and selection in continuous integration
H Spieker, A Gotlieb, D Marijan, M Mossige
Proceedings of the 26th ACM SIGSOFT International Symposium on Software …, 2017
1802017
A fine-grained data set and analysis of tangling in bug fixing commits
S Herbold, A Trautsch, B Ledel, A Aghamohammadi, TA Ghaleb, ...
Empirical Software Engineering 27 (6), 1-49, 2022
18*2022
Adaptive metamorphic testing with contextual bandits
H Spieker, A Gotlieb
Journal of Systems and Software 165, 110574, 2020
172020
Multi-stage evolution of single-and multi-objective MCLP
H Spieker, A Hagg, A Gaier, S Meilinger, A Asteroth
Soft Computing 21 (17), 4859-4872, 2017
102017
Time-aware test case execution scheduling for cyber-physical systems
M Mossige, A Gotlieb, H Spieker, H Meling, M Carlsson
International Conference on Principles and Practice of Constraint …, 2017
92017
Towards testing of deep learning systems with training set reduction
H Spieker, A Gotlieb
arXiv preprint arXiv:1901.04169, 2019
82019
Learning objective boundaries for constraint optimization problems
H Spieker, A Gotlieb
International Conference on Machine Learning, Optimization, and Data Science …, 2020
42020
Opening the software engineering toolbox for the assessment of trustworthy AI
MK Ahuja, MB Belaid, P Bernabé, M Collet, A Gotlieb, C Lal, D Marijan, ...
arXiv preprint arXiv:2007.07768, 2020
42020
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques
MK Ahuja, A Gotlieb, H Spieker
2022 IEEE International Conference on Software Testing, Verification and …, 2022
32022
Methodische Grundlegung für eine Strategie zum sukzessiven Ausbau der Ladeinfrastruktur für Elektromobilität in Bonn und dem Rhein-Sieg-Kreis: Studie zur Strategie für den …
A Hagg, H Spieker, A Oslislo, V Jacobs, A Asteroth, S Meilinger
32015
Testing Industrial Robotic Systems: A New Battlefield!
A Gotlieb, D Marijan, H Spieker
Software Engineering for Robotics, 109-137, 2021
22021
Rotational diversity in multi-cycle assignment problems
H Spieker, A Gotlieb, M Mossige
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7724-7731, 2019
22019
Successive evolution of charging station placement
H Spieker, A Hagg, A Asteroth, S Meilinger, V Jacobs, A Oslislo
2015 International Symposium on Innovations in Intelligent SysTems and …, 2015
22015
GEQCA: Generic Qualitative Constraint Acquisition
MB Belaid, N Belmecheri, A Gotlieb, N Lazaar, H Spieker
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3690-3697, 2022
12022
Predictive Machine Learning of Objective Boundaries for Solving COPs
H Spieker, A Gotlieb
AI 2 (4), 527-551, 2021
12021
Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction
H Spieker
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
12021
ITE: A Lightweight Implementation of Stratified Reasoning for Constructive Logical Operators
A Gotlieb, D Marijan, H Spieker
International Journal on Artificial Intelligence Tools 29 (03n04), 2060006, 2020
12020
Learning agents of bounded rationality: rewards based on fair equilibria
T Kampik, H Spieker
2019 The 31st Annual Workshop of the Swedish Artificial Intelligence Society …, 2019
12019
Stratified constructive disjunction and negation in constraint programming
A Gotlieb, D Marijan, H Spieker
2018 IEEE 30th International Conference on Tools with Artificial …, 2018
12018
Different cycle, different assignment: diversity in assignment problems with multiple cycles
H Spieker, A Gotlieb, M Mossige
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
12018
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