| 2026 | Dynamic Agent Generation for Self-Adaptive Root Cause Analysis. | Brell Peclard Sanwouo Chekam, Paul Temple, Clment Quinton |
| 2026 | Ripple: A Long-Sighted Self-Adaptation Approach to Retrain Machine Learning-Enabled Systems. | Maria Casimiro, Valentim Romo, Paolo Romano, Lus E. T. Rodrigues, David Garlan |
| 2026 | Ubi-AAL: A Self-Adaptive Ubiquitous Computing System Problem Exemplar in Ambient Assisted Living. | Javier Cmara, Ilias Gerostathopoulos, Livia Lestingi, Michele Loreti, Hiroyuki Nakagawa, Marjan Sirjani, Kenji Tei |
| 2026 | Runtime Self-Optimization Through Knowledge-Driven Design Space Reduction. | Luca Brodo, Giuseppe Scalora, Stefan Henkler |
| 2026 | Verify, Augment, Improve: Self-Adaptation Repair via Automated Knowledge Augmentation from Mistakes. | Pietro Benecchi, Luigi Cardone, Matteo Camilli, Livia Lestingi, Raffaela Mirandola |
| 2026 | Adaptive Toggling of Architectural Patterns for Federated Learning. | Luciano Baresi, Ivan Compagnucci, Livia Lestingi, Catia Trubiani |
| 2026 | MAPER: Extending MAPE-K with LLM-Based Reasoning to Manage Unanticipated Situations in Self-Adaptive Systems. | Lucas Vieira Alves, Gabriel Luiz Barros De Oliveira, Matheus Lima Chagas, Alan Bandeira, Paulo Henrique M. Maia, Cleilton Rocha |
| 2025 | Adaptive Human-Robot Collaborative Missions using Hybrid Task Planning. | Gricel Vzquez, Alexandros Evangelidis, Sepeedeh Shahbeigi, Simos Gerasimou |
| 2025 | Analysis of Autonomous Driving Software to Low-Level Sensor Cyber Attacks. | Andrew Roberts, Mohsen Malayjerdi, Mauro Bellone, Raivo Sell, Olaf Maennel, Mohammad Hamad, Sebastian Steinhorst |
| 2025 | Towards Using Inductive Learning to Adapt Security Controls in Smart Homes. | Kushal Ramkumar, Wanling Cai, John C. McCarthy, Gavin Doherty, Bashar Nuseibeh, Liliana Pasquale |
| 2025 | Adaptive and Interoperable Federated Data Spaces: An Implementation Experience. | Nikolaos Papadakis, Niemat Khoder, Daphn Tuncer, Kostas Magoutis, Georgios Bouloukakis |
| 2025 | SPARQ: A QoS-Aware Framework for Mitigating Cyber Risk in Self-Protecting IoT Systems. | Alessandro Palma, Houssam Hajj Hassan, Georgios Bouloukakis |
| 2025 | Modeling Safe Adaptation Spaces for Self-Adaptive Systems Using Contextual Safety Concept Trees. | Andreas Kreutz, Gereon Weiss, Mario Trapp |
| 2025 | ResMetric: Analyzing Resilience to Enable Research on Antifragility. | Ferdinand Koenig, Marc Carwehl, Calum Imrie |
| 2025 | A Comprehensive Analysis of Cybersecurity Challenges in Self-Adaptive Avionics: A Plug&Fly Avionics Platform Case Study. | Aisha Zahid Junejo, Mario Werthwein, Bjrn Annighfer |
| 2025 | Robust Probabilistic Model Checking With Continuous Reward Domains. | Xiaotong Ji, Hanchun Wang, Antonio Filieri, Ilenia Epifani |
| 2025 | Wasteless: An Optimal Provisioner for Self-Adaptive Second-Generation Serverless Applications. | Emilio Incerto, Roberto Pizziol, Gabriele Russo Russo, Mirco Tribastone |
| 2025 | SYSTEMLENS: Integrating Performance Prediction, Anomaly Prediction and Root-Cause Localization for Self-Healing Software Systems. | Hamza Hussain, Ghadeer Abuoda, Marin Litoiu |
| 2025 | Adapting Aggregation Rule for Robust Federated Learning under Dynamic Attacks. | Chenyu Hu, Mingyue Zhang, Nianyu Li, Jialong Li, Zheng Yang, Muneeb Ul Hassan, Kenji Tei |
| 2025 | Context-Role Oriented Programming in Julia: Advancing Swarm Programming. | Christian Gutsche, Sebastian Gtz, Volodymyr A. Prokopets, Uwe Amann |
| 2025 | Approaching Proactive Self-Adaptation in Nonlinear Cyber-Physical Systems. | Farid Edrisi, Diego Perez-Palacin, Mauro Caporuscio, Raffaela Mirandola |
| 2025 | Self-Adaptive Dual-Layer DDoS Mitigation using Autoencoder and Reinforcement Learning. | Qi Duan, Ehab Al-Shaer, David Garlan |
| 2025 | Flexico: Sustainable Machine Translation via Self-Adaptation. | Maria Casimiro, Paolo Romano, Jos G. C. De Souza, Amin M. Khan, David Garlan |
| 2025 | Leveraging Self-Adaptive Systems and Generative AI for Personalizing Educational Serious Games: Architecture and Future Challenges. | Antonio Bucchiarone, Federico Bonetti, Enes Yigitbas |
| 2025 | Dynamic Resource Allocation for Deadline-Constrained Neural Network Training. | Luciano Baresi, Marco Garlini, Giovanni Quattrocchi |