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Pohl, Klaus-D.
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1

Ökonomische Auswirkungen des Qualitätsmanagements:

, In: Rentabel durch Total Quality Management,
Pohl, Klaus-Dieter - p. 11-29 , 1996
Link: https://doi.org/10.1007/..
 
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2

An Empirical Study on Just-in-time Conformal Defect Predict..:

, In: Proceedings of the 21st International Conference on Mining Software Repositories,
Shahini, Xhulja ; Metzger, Andreas ; Pohl, Klaus - p. 88-99 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Towards the decentralized coordination of multiple self-ada..:

, In: 2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS),
Dragan, Paul-Andrei ; Metzger, Andreas ; Pohl, Klaus - p. 107-116 , 2023
Link: https://doi.org/10.1109/..
 
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4

Fuzz on the Beach: Fuzzing Solana Smart Contracts:

, In: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security,
Smolka, Sven ; Giesen, Jens-Rene ; Winkler, Pascal... - p. 1197-1211 , 2023
Link: https://dl.acm.org/doi/1..
 
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5

Explaining Online Reinforcement Learning Decisions of Self-..:

, In: 2022 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS),
Feit, Felix ; Metzger, Andreas ; Pohl, Klaus - p. 51-60 , 2022
Link: https://doi.org/10.1109/..
 
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6

UMLsec4Edge: Extending UMLsec to model data-protection-comp..:

, In: 2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA),
Smolka, Sven ; Laufer, Jan ; Mann, Zoltan Adam. - p. 418-425 , 2022
Link: https://doi.org/10.1109/..
 
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7

Counterfactual Explanations for Predictive Business Process..:

, In: Information Systems; Lecture Notes in Business Information Processing,
Huang, Tsung-Hao ; Metzger, Andreas ; Pohl, Klaus - p. 399-413 , 2022
Link: https://doi.org/10.1007/..
 
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8

Feature Model-Guided Online Reinforcement Learning for Self..:

, In: Service-Oriented Computing; Lecture Notes in Computer Science,
Metzger, Andreas ; Quinton, Clément ; Mann, Zoltán Ádám.. - p. 269-286 , 2020
Link: https://doi.org/10.1007/..
 
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9

Goal-based configuration analysis for networks of collabora..:

, In: Proceedings of the 35th Annual ACM Symposium on Applied Computing,
Brings, Jennifer ; Daun, Marian ; Weyer, Thorsten. - p. 1387-1396 , 2020
Link: https://dl.acm.org/doi/1..
 
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10

Online Reinforcement Learning for Self-adaptive Information..:

, In: Advanced Information Systems Engineering; Lecture Notes in Computer Science,
Palm, Alexander ; Metzger, Andreas ; Pohl, Klaus - p. 169-184 , 2020
Link: https://doi.org/10.1007/..
 
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11

Proactive Process Adaptation Using Deep Learning Ensembles:

, In: Advanced Information Systems Engineering; Lecture Notes in Computer Science,
Metzger, Andreas ; Neubauer, Adrian ; Bohn, Philipp. - p. 547-562 , 2019
Link: https://doi.org/10.1007/..
 
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12

Software Product Lines:

, In: The Essence of Software Engineering,
Pohl, Klaus ; Metzger, Andreas - p. 185-201 , 2018
Link: https://doi.org/10.1007/..
 
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13

Coordinated run-time adaptation of variability-intensive sy..:

, In: Proceedings of the 1st International Workshop on Variability and Complexity in Software Design,
Metzger, Andreas ; Bayer, Andreas ; Doyle, Daniel... - p. 5-11 , 2016
Link: https://dl.acm.org/doi/1..
 
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14

Learning and Evolution in Dynamic Software Product Lines:

, In: 2016 IEEE/ACM 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS),
Sharifloo, Amir Molzam ; Metzger, Andreas ; Quinton, Clement.. - p. 158-164 , 2016
Link: https://doi.org/10.1145/..
 
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15

Learning and evolution in dynamic software product lines:

, In: Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems,
Sharifloo, Amir Molzam ; Metzger, Andreas ; Quinton, Clément.. - p. 158-164 , 2016
Link: https://dl.acm.org/doi/1..
 
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