| On learning in collective self-adaptive systems: State of practice and a 3d framework M D'Angelo, S Gerasimou, S Ghahremani, J Grohmann, I Nunes, ... 2019 IEEE/ACM 14th International Symposium on Software Engineering for …, 2019 | 54 | 2019 |
| Efficient utility-driven self-healing employing adaptation rules for large dynamic architectures S Ghahremani, H Giese, T Vogel 2017 IEEE International Conference on Autonomic Computing (ICAC), 59-68, 2017 | 33 | 2017 |
| Training prediction models for rule-based self-adaptive systems S Ghahremani, CM Adriano, H Giese 2018 IEEE International Conference on Autonomic Computing (ICAC), 187-192, 2018 | 26 | 2018 |
| Improving scalability and reward of utility-driven self-healing for large dynamic architectures S Ghahremani, H Giese, T Vogel ACM Transactions on Autonomous and Adaptive Systems (TAAS) 14 (3), 1-41, 2020 | 15 | 2020 |
| Towards highly scalable runtime models with history L Sakizloglou, S Ghahremani, T Brand, M Barkowsky, H Giese Proceedings of the IEEE/ACM 15th International Symposium on Software …, 2020 | 12 | 2020 |
| Evaluation of Self-Healing Systems: An Analysis of the State-of-the-Art and Required Improvements S Ghahremani, H Giese Computers 2020 - Special Issue: Applications in Self-Aware Computing …, 2020 | 11 | 2020 |
| Incremental execution of temporal graph queries over runtime models with history and its applications L Sakizloglou, S Ghahremani, M Barkowsky, H Giese Software and Systems Modeling 21 (5), 1789-1829, 2022 | 8 | 2022 |
| Learning to learn in collective adaptive systems: mining design patterns for data-driven reasoning M D’Angelo, S Ghahremani, S Gerasimou, J Grohmann, I Nunes, ... 2020 IEEE International Conference on Autonomic Computing and Self …, 2020 | 8 | 2020 |
| Towards linking adaptation rules to the utility function for dynamic architectures S Ghahremani, H Giese, T Vogel 2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing …, 2016 | 8 | 2016 |
| A scalable querying scheme for memory-efficient runtime models with history L Sakizloglou, S Ghahremani, M Barkowsky, H Giese Proceedings of the 23rd ACM/IEEE International Conference on Model Driven …, 2020 | 6 | 2020 |
| Performance Evaluation for Self-Healing Systems: Current Practice & Open Issues S Ghahremani, H Giese 2019 IEEE 4th International Workshops on Foundations and Applications of …, 2019 | 5 | 2019 |
| Hybrid planning with receding horizon: A case for meta-self-awareness S Ghahremani, H Giese 2021 IEEE International Conference on Autonomic Computing and Self …, 2021 | 2 | 2021 |
| Incremental self-adaptation of dynamic architectures attaining optimality and scalability S Ghahremani Universität Potsdam, 2024 | | 2024 |
| 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion E El-Araby, V Kalogeraki, D Pianini, F Lassabe, B Porter, S Ghahremani, ... | | 2021 |
| 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2021 E El-Araby, V Kalogeraki, D Pianini, F Lassabe, B Porter, S Ghahremani, ... IEEE, 2021 | | 2021 |
| 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) E El-Araby, V Kalogeraki, D Pianini, F Lassabe, B Porter, S Ghahremani, ... IEEE, 2021 | | 2021 |
| 3.10 Utility-driven self-adaptation of large dynamic architectures S Ghahremani Software Engineering for Intelligent and Autonomous Systems (SEfIAS), 15, 2019 | | 2019 |
| Learning in Collective Autonomous Systems M D’Angelo, S Gerasimou, S Ghahremani, J Grohmann, I Nunes, ... GI Dagstuhl Seminar on Software Engineering for Intelligent and Autonomous …, 2019 | | 2019 |
| Improving Self-Healing by Estimating the Impact of Adaptation Rules on the Utility at Runtime S Ghahremani Proceedings of the 10th Ph. D. Retreat of the HPI Research School on Service …, 2018 | | 2018 |
| Utility-Driven Modularized MAPE-K loop architectures for Self-adaptive systems S Ghahremani Proceedings of the 9th Ph. D. retreat of the HPI Research School on service …, 2017 | | 2017 |
Holger GieseProfessor of Computer Science, Hasso Plattner Insitute, Potsdam UniversityBestätigte E-Mail-Adresse bei hpi.uni-potsdam.de
