Abstract is missing.
- Formal Synthesis of Uncertainty Reduction ControllersMarc Carwehl, Calum Imrie, Thomas Vogel 0001, Genaína Nunes Rodrigues, Radu Calinescu, Lars Grunske. 2-13 [doi]
- Automated Planning for Adaptive Cyber-Physical Systems under Uncertainty in Temporal Availability ConstraintsRaquel Sanchez, Javier Troya, Javier Cámara. 14-24 [doi]
- Handling uncertainty in the specification of autonomous multi-robot systems through mission adaptationGianluca Filippone, Juan Antonio Piñera García, Marco Autili, Patrizio Pelliccione. 25-36 [doi]
- Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive SystemsJavier Cámara, Sebastian Hahner, Diego Perez-Palacin, Antonio Vallecillo, Maribel Acosta, Nelly Bencomo, Radu Calinescu, Simos Gerasimou. 37-43 [doi]
- ADAM: Adaptive Monitoring of Runtime Anomalies in Small Uncrewed Aerial SystemsMd Nafee Al Islam, Jane Cleland-Huang, Michael Vierhauser. 44-55 [doi]
- Towards Proactive Decentralized Adaptation of Unmanned Aerial Vehicles for Wildfire TrackingEnrique Vilchez, Javier Troya, Javier Cámara. 56-62 [doi]
- Wildfire-UAVSim: An Exemplar for Evaluation of Adaptive Cyber-Physical Systems in Partially-Observable EnvironmentsEnrique Vilchez, Javier Troya, Javier Cámara. 63-69 [doi]
- Aloft: Self-Adaptive Drone Controller TestbedCalum Imrie, Rhys Howard, Divya Thuremella, Nawshin Mannan Proma, Tejas Pandey, Paulina Lewinska, Ricardo Cannizzaro, Richard Hawkins, Colin Paterson, Lars Kunze, Victoria J. Hodge. 70-76 [doi]
- Exploring the Potential of Large Language Models in Self-adaptive SystemsJialong Li, Mingyue Zhang, Nianyu Li, Danny Weyns, Zhi Jin, Kenji Tei. 77-83 [doi]
- Automating Pipelines of A/B Tests with Population Split Using Self-Adaptation and Machine LearningFederico Quin, Danny Weyns. 84-97 [doi]
- Generating Executable Test Scenarios from Autonomous Vehicle Disengagements using Natural Language ProcessingQunying Song, Rune Anderberg, Henrik Olsson, Per Runeson. 98-104 [doi]
- Swarm intelligence-based bio-inspired algorithmsDarko Bozhinoski. 105-106 [doi]
- Bio-inspired computing systems: handle with care, discard if need itRogério de Lemos. 107-109 [doi]
- Raft Protocol for Fault Tolerance and Self-Recovery in Federated LearningRustem Dautov, Erik Johannes Husom. 110-121 [doi]
- Integrating Graceful Degradation and Recovery through Requirement-driven AdaptationSimon Chu, Justin Koe, David Garlan, Eunsuk Kang. 122-132 [doi]
- Learning Recovery Strategies for Dynamic Self-healing in Reactive SystemsMateo Sanabria, Ivana Dusparic, Nicolás Cardozo. 133-142 [doi]
- SWITCH: An Exemplar for Evaluating Self-Adaptive ML-Enabled SystemsArya Marda, Shubham Kulkarni, Karthik Vaidhyanathan. 143-149 [doi]
- Patterns of Applied Control for Public Health Measures on Transportation Services under EpidemicKenneth Johnson, Samaneh Madanian, Catia Trubiani. 150-160 [doi]
- RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice ApplicationsVincenzo Riccio, Giancarlo Sorrentino, Ettore Zamponi, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra. 161-167 [doi]
- Self-adaptive, Requirements-driven Autoscaling of MicroservicesJoão Paulo Karol Santos Nunes, Shiva Nejati, Mehrdad Sabetzadeh, Elisa Yumi Nakagawa. 168-174 [doi]
- GreenhouseDT: An Exemplar for Digital TwinsEduard Kamburjan, Riccardo Sieve, Chinmayi Prabhu Baramashetru, Marco Amato, Gianluca Barmina, Eduard Occhipinti, Einar Broch Johnsen. 175-181 [doi]
- Latency-aware RDMSim: Enabling the Investigation of Latency in Self-Adaptation for the Case of Remote Data MirroringSebastian Götz, Nelly Bencomo, Huma Samin. 182-188 [doi]
- Explanation-driven Self-adaptation using Model-agnostic Interpretable Machine LearningFrancesco Renato Negri, Niccolo Nicolosi, Matteo Camilli, Raffaela Mirandola. 189-199 [doi]
- Human empowerment in self-adaptive socio-technical systemsNicolas Boltz, Sinem Getir Yaman, Paola Inverardi, Rogério de Lemos, Dimitri Van Landuyt, Andrea Zisman. 200-206 [doi]
- Towards Understanding Trust in Self-adaptive SystemsDimitri Van Landuyt, David Halasz, Stef Verreydt, Danny Weyns. 207-213 [doi]
- SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous VehiclesKenneth H. Chan, Sol Zilberman, Nick Polanco, Joshua E. Siegel, Betty H. C. Cheng. 214-220 [doi]