default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID16th SEAMS@ICSE 2021: Madrid, Spain
- 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS@ICSE 2021, Madrid, Spain, May 18-24, 2021. IEEE 2021, ISBN 978-1-6654-0289-7
- Hargyo Tri Nugroho Ignatius
, Rami Bahsoon:
A Conceptual Reference Model for Human as a Service Provider in Cyber Physical Systems. 1-10 - Byron DeVries, Erik M. Fredericks, Betty H. C. Cheng:
Analysis and Monitoring of Cyber-Physical Systems via Environmental Domain Knowledge & Modeling. 11-17 - Federico Quin, Danny Weyns, Omid Gheibi:
Decentralized Self-Adaptive Systems: A Mapping Study. 18-29 - Enes Yigitbas, Kadiray Karakaya, Ivan Jovanovikj, Gregor Engels:
Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR Interfaces. 30-40 - Luciano Baresi, Giovanni Quattrocchi, Nicholas Rasi:
Federated Machine Learning as a Self-Adaptive Problem. 41-47 - Nianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl, Zhi Jin:
Hey! Preparing Humans to do Tasks in Self-adaptive Systems. 48-58 - Ilias Gerostathopoulos, Thomas Vogel, Danny Weyns, Patricia Lago:
How do we Evaluate Self-adaptive Software Systems?: A Ten-Year Perspective of SEAMS. 59-70 - Matthias Barkowsky, Thomas Brand, Holger Giese:
Improving Adaptive Monitoring with Incremental Runtime Model Queries. 71-77 - Michael Austin Langford, Betty H. C. Cheng:
"Know What You Know": Predicting Behavior for Learning-Enabled Systems When Facing Uncertainty. 78-89 - Radu Calinescu, Naif Alasmari, Mario Gleirscher:
Maintaining driver attentiveness in shared-control autonomous driving. 90-96 - Ali Farahani, Liliana Pasquale, Amel Bennaceur, Thomas Welsh, Bashar Nuseibeh:
On Adaptive Fairness in Software Systems. 97-103 - Omid Gheibi, Danny Weyns, Federico Quin:
On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems. 104-110 - Max Scheerer, Ralf H. Reussner:
Reliability Prediction of Self-Adaptive Systems Managing Uncertain AI Black-Box Components. 111-117 - Charles Hartsell, Shreyas Ramakrishna, Abhishek Dubey, Dániel Stojcsics, Nagabhushan Mahadevan, Gabor Karsai:
ReSonAte: A Runtime Risk Assessment Framework for Autonomous Systems. 118-129 - Ana Petrovska, Malte Neuss, Ilias Gerostathopoulos, Alexander Pretschner:
Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems. 130-141 - Francisco Durán, Ajay Krishna, Michel Le Pallec, Radu Mateescu, Gwen Salaün:
Seamless Reconfiguration of Rule-based IoT Applications. 142-148 - Antonio Bucchiarone, Antonio Cicchetti, Nelly Bencomo, Enrica Loria, Annapaola Marconi:
Gamified and Self-Adaptive Applications for the Common Good: Research Challenges Ahead. 149-155 - Tim Bolender, Gereon Bürvenich, Manuela Dalibor, Bernhard Rumpe, Andreas Wortmann:
Self-Adaptive Manufacturing with Digital Twins. 156-166 - Messias Filho, Eliaquim Pimentel, Wellington Pereira, Paulo Henrique M. Maia, Mariela I. Cortés:
Self-Adaptive Microservice-based Systems - Landscape and Research Opportunities. 167-178 - Björn Annighöfer, Johannes Reinhart, Matthias Brunner, Bernd Schulz:
The Concept of an Autonomic Avionics Platform and the Resulting Software Engineering Challenges. 179-185 - Paul Dean, Barry Porter:
The Design Space of Emergent Scheduling for Distributed Execution Frameworks. 186-195 - Sebastian Lawrenz, Benjamin Leiding:
The Hitchhiker's Guide to the End-of-Life for Smart Devices. 196-202 - Dimitri Van Landuyt, Liliana Pasquale, Laurens Sion, Wouter Joosen:
Threat modeling at run time: the case for reflective and adaptive threat management (NIER track). 203-209 - Nicola Franco, Hoai My Van, Marc Dreiser, Gereon Weiss:
Towards a Self-Adaptive Architecture for Federated Learning of Industrial Automation Systems. 210-216 - Danny Weyns, Bradley R. Schmerl, Masako Kishida, Alberto Leva, Marin Litoiu, Necmiye Ozay, Colin Paterson, Kenji Tei:
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning. 217-223 - Eric Bernd Gil, Ricardo Diniz Caldas, Arthur Rodrigues, Gabriel Levi Gomes da Silva, Genaína Nunes Rodrigues, Patrizio Pelliccione:
Body Sensor Network: A Self-Adaptive System Exemplar in the Healthcare Domain. 224-230 - Yong-Jun Shin, Lingjun Liu, Sangwon Hyun, Doo-Hwan Bae:
Platooning LEGOs: An Open Physical Exemplar for Engineering Self-Adaptive Cyber-Physical Systems-of-Systems. 231-237 - Huma Samin, Luis Hernán García Paucar, Nelly Bencomo, Cesar M. Carranza Hurtado, Erik M. Fredericks:
RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-Adaptation. 238-244 - Mehrnoosh Askarpour, Christos Tsigkanos, Claudio Menghi, Radu Calinescu, Patrizio Pelliccione, Sergio García, Ricardo Caldas, Tim J. von Oertzen, Manuel Wimmer, Luca Berardinelli, Matteo Rossi, Marcello M. Bersani, Gabriel S. Rodrigues:
RoboMAX: Robotic Mission Adaptation eXemplars. 245-251 - Nicolás Cardozo, Ivana Dusparic:
Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research Directions. 252-253 - Shang-Wen Cheng:
Change Is the Ultimate Self-Adaptive Challenge. 254-255 - Yehia Elkhatib, Abdessalam Elhabbash:
If a System is Learning to Self-adapt, Who's Teaching? 256-257 - Martina Maggio:
Is this all about about handling unanticipated changes or about foreseeing what needs handling? 258-259 - Gregor Engels:
Predict the Future: Preventing unanticipated changes is the ultimate challenge for self-adaptive systems. 260-261 - Tomás Bures:
Self-Adaptation 2.0. 262-263 - David Garlan:
The Unknown Unknowns Are Not Totally Unknown. 264-265
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-05 20:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
