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2023

A Distributed MAPE-K Framework for Self-Protective IoT DevicesMichael Riegler 0002, Johannes Sametinger, Michael Vierhauser. SEAMS 2023: 202-208 [doi]

18th IEEE/ACM Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2023, Melbourne, Australia, May 15-16, 2023IEEE, 2023. [doi]

SeMaFoR - Self-Management of Fog Resources with Collaborative Decentralized ControllersAbdelghani Alidra, Hugo Bruneliere, Hélène Coullon, Thomas Ledoux, Charles Prud'homme, Jonathan Lejeune, Pierre Sens 0001, Julien Sopena, Jonathan Rivalan. SEAMS 2023: 25-31 [doi]

Self-Optimizing Agents Using Mixed Initiative Behavior TreesMohamed Behery, Minh Trinh, Christian Brecher, Gerhard Lakemeyer. SEAMS 2023: 97-103 [doi]

Adapting Specifications for Reactive ControllersTitus Buckworth, Dalal Alrajeh, Jeff Kramer, Sebastián Uchitel. SEAMS 2023: 1-12 [doi]

Runtime Verification of Self-Adaptive Systems with Changing RequirementsMarc Carwehl, Thomas Vogel 0001, Genaína Nunes Rodrigues, Lars Grunske. SEAMS 2023: 104-114 [doi]

Runtime Resolution of Feature Interactions through Adaptive Requirement WeakeningSimon Chu, Emma Shedden, Changjian Zhang, Rômulo Meira-Góes, Gabriel A. Moreno, David Garlan, Eunsuk Kang. SEAMS 2023: 115-125 [doi]

Software Self-adaptation and Industry: Blame MAPE-KRogério de Lemos. SEAMS 2023: 88-89 [doi]

Hazard Analysis for Self-Adaptive Systems Using System-Theoretic Process AnalysisSimon Diemert, Jens H. Weber. SEAMS 2023: 145-156 [doi]

Adaptive Controllers and Digital Twin for Self-Adaptive Robotic ManipulatorsFarid Edrisi, Diego Perez-Palacin, Mauro Caporuscio, Samuele Giussani. SEAMS 2023: 56-67 [doi]

Dynamic Runtime Integration of New Models in Digital TwinsHenrik Ejersbo, Kenneth Lausdahl, Mirgita Frasheri, Lukas Esterle. SEAMS 2023: 44-55 [doi]

Architecture-Based Uncertainty Impact Analysis to Ensure ConfidentialitySebastian Hahner, Robert Heinrich, Ralf H. Reussner. SEAMS 2023: 126-132 [doi]

PlanIoT: A Framework for Adaptive Data Flow Management in IoT-enhanced SpacesHoussam Hajj Hassan, Georgios Bouloukakis, Ajay Kattepur, Denis Conan, Djamel Belaïd. SEAMS 2023: 157-168 [doi]

Artifact: Implementation of an Adaptive Flow Management Framework for IoT SpacesHoussam Hajj Hassan, Georgios Bouloukakis, Ajay Kattepur, Denis Conan, Djamel Belaïd. SEAMS 2023: 188-194 [doi]

Control Action Types -Patterns of Applied Control for Self-adaptive SystemsChristian Kröher, Lea Gerling, Klaus Schmid. SEAMS 2023: 32-43 [doi]

Preference Adaptation: user satisfaction is all you need!Nianyu Li, Mingyue Zhang, Jialong Li, Eunsuk Kang, Kenji Tei. SEAMS 2023: 133-144 [doi]

CHESS: A Framework for Evaluation of Self-Adaptive Systems Based on Chaos EngineeringSehrish Malik, Moeen Ali Naqvi, Leon Moonen. SEAMS 2023: 195-201 [doi]

Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial SystemsSalil Purandare, Urjoshi Sinha, Md Nafee Al Islam, Jane Cleland-Huang, Myra B. Cohen. SEAMS 2023: 169-180 [doi]

Towards a Robust On-line Performance Model Identification for Change Impact PredictionYar Rouf, Joydeep Mukherjee, Marin Litoiu. SEAMS 2023: 68-78 [doi]

Adaptively Managing Reliability of Machine Learning Perception under Changing Operating ConditionsAniket Salvi, Gereon Weiss, Mario Trapp. SEAMS 2023: 79-85 [doi]

SUAVE: An Exemplar for Self-Adaptive Underwater VehiclesGustavo Rezende Silva, Juliane Päßler, Jeroen Zwanepol, Elvin Alberts, Silvia Lizeth Tapia Tarifa, Ilias Gerostathopoulos, Einar Broch Johnsen, Carlos Hernández Corbato. SEAMS 2023: 181-187 [doi]

Design and Evaluation of Controllers based on MicroservicesBento R. Siqueira, Fabiano Cutigi Ferrari, Rogério de Lemos. SEAMS 2023: 13-24 [doi]

On the Need for Artifacts to Support Research on Self-Adaptation Mature for Industrial AdoptionDanny Weyns, Thomas Vogel 0001. SEAMS 2023: 86-87 [doi]

From Self-Adaptation to Self-Evolution Leveraging the Operational Design DomainDanny Weyns, Jesper Andersson. SEAMS 2023: 90-96 [doi]

2022

International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022, Pittsburgh, PA, USA, May 22-24, 2022IEEE, 2022. [doi]

NEPTUNE: Network- and GPU-aware Management of Serverless Functions at the EdgeLuciano Baresi, Davide Yi Xian Hu, Giovanni Quattrocchi, Luca Terracciano. SEAMS 2022: 144-155 [doi]

Taming Model Uncertainty in Self-adaptive Systems Using Bayesian Model AveragingMatteo Camilli, Raffaela Mirandola, Patrizia Scandurra. SEAMS 2022: 25-35 [doi]

Planning Landscape Analysis for Self-Adaptive SystemsTao Chen. SEAMS 2022: 84-90 [doi]

A Paradigm for Safe Adaptation of Collaborating RobotsEmilia Cioroaica, Barbora Buhnova, Emrah Tomur. SEAMS 2022: 113-119 [doi]

Extending MAPE-K to support Human-Machine TeamingJane Cleland-Huang, Ankit Agrawal, Michael Vierhauser, Michael Murphy, Mike Prieto. SEAMS 2022: 120-131 [doi]

Towards Self-Adaptive Peer-to-Peer Monitoring for Fog EnvironmentsVera Colombo, Alessandro Tundo, Michele Ciavotta, Leonardo Mariani. SEAMS 2022: 156-166 [doi]

Towards Digital Twin-enabled DevOps for CPS providing Architecture-Based Service Adaptation & Verification at RuntimeJürgen Dobaj, Andreas Riel, Thomas Krug, Matthias Seidl, Georg Macher, Markus Egretzberger. SEAMS 2022: 132-143 [doi]

Safe Adaptation of Cobotic Cells based on Petri NetsSebastian Ebert. SEAMS 2022: 43-47 [doi]

PRESTO: Predicting System-level Disruptions through Parametric Model CheckingXinwei Fang, Radu Calinescu, Colin Paterson, Julie Wilson. SEAMS 2022: 91-97 [doi]

Emergent Web Server: An Exemplar to Explore Online Learning in Compositional Self-Adaptive SystemsRoberto Rodrigues Filho, Elvin Alberts, Ilias Gerostathopoulos, Barry Porter, Fábio M. Costa. SEAMS 2022: 36-42 [doi]

Devops for digital business: Optimizing the performance and economic efficiency of software products for digital businessSoude Ghari. SEAMS 2022: 53-57 [doi]

Lifelong Self-Adaptation: Self-Adaptation Meets Lifelong Machine LearningOmid Gheibi, Danny Weyns. SEAMS 2022: 1-12 [doi]

From Systems to Ecosystems: Rethinking Adaptive SafetyDavid Halasz. SEAMS 2022: 48-52 [doi]

Simdex: A Simulator of a Real Self-adaptive job-dispatching System BackendMartin Krulis, Tomás Bures, Petr Hnetynka. SEAMS 2022: 167-173 [doi]

Learning Self-adaptations for IoT Networks: A Genetic Programming ApproachJia Li, Shiva Nejati, Mehrdad Sabetzadeh. SEAMS 2022: 13-24 [doi]

SEAByTE: A Self-adaptive Micro-service System Artifact for Automating A/B TestingFederico Quin, Danny Weyns. SEAMS 2022: 77-83 [doi]

Self-adaptive Testing in the Field: Are We There Yet?Samira Silva, Antonia Bertolino, Patrizio Pelliccione. SEAMS 2022: 58-69 [doi]

Preliminary Results of a Survey on the Use of Self-Adaptation in IndustryDanny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomás Bures, Amleto Di Salle, Patricia Lago, Angelika Musil, Juergen Musil, Patrizio Pelliccione. SEAMS 2022: 70-76 [doi]

Towards Model Co-evolution Across Self-Adaptation Steps for Combined Safety and Security AnalysisThomas Witte, Raffaela Groner, Alexander Raschke, Matthias Tichy, Irdin Pekaric, Michael Felderer. SEAMS 2022: 106-112 [doi]

Run-Time Adaptation of Quality Attributes for Automated PlanningRebekka Wohlrab, Rômulo Meira-Góes, Michael Vierhauser. SEAMS 2022: 98-105 [doi]

2021

Seamless Reconfiguration of Rule-based IoT ApplicationsFrancisco Durán 0001, Ajay Krishna 0001, Michel Le Pallec, Radu Mateescu 0001, Gwen Salaün. SEAMS 2021: 142-148 [doi]

16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS@ICSE 2021, Madrid, Spain, May 18-24, 2021IEEE, 2021. [doi]

The Concept of an Autonomic Avionics Platform and the Resulting Software Engineering ChallengesBjörn Annighöfer, Johannes Reinhart, Matthias Brunner, Bernd Schulz. SEAMS 2021: 179-185 [doi]

RoboMAX: Robotic Mission Adaptation eXemplarsMehrnoosh Askarpour, Christos Tsigkanos, Claudio Menghi, Radu Calinescu, Patrizio Pelliccione, Sergio García 0002, Ricardo Caldas, Tim J. von Oertzen, Manuel Wimmer, Luca Berardinelli, Matteo Rossi, Marcello M. Bersani, Gabriel S. Rodrigues. SEAMS 2021: 245-251 [doi]

Federated Machine Learning as a Self-Adaptive ProblemLuciano Baresi, Giovanni Quattrocchi, Nicholas Rasi. SEAMS 2021: 41-47 [doi]

Improving Adaptive Monitoring with Incremental Runtime Model QueriesMatthias Barkowsky, Thomas Brand, Holger Giese. SEAMS 2021: 71-77 [doi]

Self-Adaptive Manufacturing with Digital TwinsTim Bolender, Gereon Bürvenich, Manuela Dalibor, Bernhard Rumpe, Andreas Wortmann 0001. SEAMS 2021: 156-166 [doi]

Gamified and Self-Adaptive Applications for the Common Good: Research Challenges AheadAntonio Bucchiarone, Antonio Cicchetti, Nelly Bencomo, Enrica Loria, Annapaola Marconi. SEAMS 2021: 149-155 [doi]

Self-Adaptation 2.0Tomás Bures. SEAMS 2021: 262-263 [doi]

Maintaining driver attentiveness in shared-control autonomous drivingRadu Calinescu, Naif Alasmari, Mario Gleirscher. SEAMS 2021: 90-96 [doi]

Adaptation to Unknown Situations as the Holy Grail of Learning-Based Self-Adaptive Systems: Research DirectionsNicolás Cardozo, Ivana Dusparic. SEAMS 2021: 252-253 [doi]

Change Is the Ultimate Self-Adaptive ChallengeShang-Wen Cheng. SEAMS 2021: 254-255 [doi]

The Design Space of Emergent Scheduling for Distributed Execution FrameworksPaul Dean, Barry Porter. SEAMS 2021: 186-195 [doi]

Analysis and Monitoring of Cyber-Physical Systems via Environmental Domain Knowledge & ModelingByron DeVries, Erik M. Fredericks, Betty H. C. Cheng. SEAMS 2021: 11-17 [doi]

If a System is Learning to Self-adapt, Who's Teaching?Yehia Elkhatib, Abdessalam Elhabbash. SEAMS 2021: 256-257 [doi]

Predict the Future: Preventing unanticipated changes is the ultimate challenge for self-adaptive systemsGregor Engels. SEAMS 2021: 260-261 [doi]

On Adaptive Fairness in Software SystemsAli Farahani, Liliana Pasquale, Amel Bennaceur, Thomas Welsh, Bashar Nuseibeh. SEAMS 2021: 97-103 [doi]

Self-Adaptive Microservice-based Systems - Landscape and Research OpportunitiesMessias Filho, Eliaquim Pimentel, Wellington Pereira, Paulo Henrique M. Maia, Mariela I. Cortés. SEAMS 2021: 167-178 [doi]

Towards a Self-Adaptive Architecture for Federated Learning of Industrial Automation SystemsNicola Franco, Hoai My Van, Marc Dreiser, Gereon Weiss. SEAMS 2021: 210-216 [doi]

The Unknown Unknowns Are Not Totally UnknownDavid Garlan. SEAMS 2021: 264-265 [doi]

How do we Evaluate Self-adaptive Software Systems?: A Ten-Year Perspective of SEAMSIlias Gerostathopoulos, Thomas Vogel 0001, Danny Weyns, Patricia Lago. SEAMS 2021: 59-70 [doi]

On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive SystemsOmid Gheibi, Danny Weyns, Federico Quin. SEAMS 2021: 104-110 [doi]

Body Sensor Network: A Self-Adaptive System Exemplar in the Healthcare DomainEric Bernd Gil, Ricardo Diniz Caldas, Arthur Rodrigues, Gabriel Levi Gomes da Silva, Genaína Nunes Rodrigues, Patrizio Pelliccione. SEAMS 2021: 224-230 [doi]

ReSonAte: A Runtime Risk Assessment Framework for Autonomous SystemsCharles Hartsell, Shreyas Ramakrishna, Abhishek Dubey, Dániel Stojcsics, Nagabhushan Mahadevan, Gabor Karsai. SEAMS 2021: 118-129 [doi]

A Conceptual Reference Model for Human as a Service Provider in Cyber Physical SystemsHargyo Tri Nugroho Ignatius, Rami Bahsoon. SEAMS 2021: 1-10 [doi]

Threat modeling at run time: the case for reflective and adaptive threat management (NIER track)Dimitri Van Landuyt, Liliana Pasquale, Laurens Sion, Wouter Joosen. SEAMS 2021: 203-209 [doi]

"Know What You Know": Predicting Behavior for Learning-Enabled Systems When Facing UncertaintyMichael Austin Langford, Betty H. C. Cheng. SEAMS 2021: 78-89 [doi]

The Hitchhiker's Guide to the End-of-Life for Smart DevicesSebastian Lawrenz, Benjamin Leiding. SEAMS 2021: 196-202 [doi]

Hey! Preparing Humans to do Tasks in Self-adaptive SystemsNianyu Li, Javier Cámara, David Garlan, Bradley R. Schmerl, Zhi Jin. SEAMS 2021: 48-58 [doi]

Is this all about about handling unanticipated changes or about foreseeing what needs handling?Martina Maggio. SEAMS 2021: 258-259 [doi]

Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical SystemsAna Petrovska, Malte Neuss, Ilias Gerostathopoulos, Alexander Pretschner. SEAMS 2021: 130-141 [doi]

Decentralized Self-Adaptive Systems: A Mapping StudyFederico Quin, Danny Weyns, Omid Gheibi. SEAMS 2021: 18-29 [doi]

RDMSim: An Exemplar for Evaluation and Comparison of Decision-Making Techniques for Self-AdaptationHuma Samin, Luis Hernán García Paucar, Nelly Bencomo, Cesar M. Carranza Hurtado, Erik M. Fredericks. SEAMS 2021: 238-244 [doi]

Reliability Prediction of Self-Adaptive Systems Managing Uncertain AI Black-Box ComponentsMax Scheerer, Ralf H. Reussner. SEAMS 2021: 111-117 [doi]

Platooning LEGOs: An Open Physical Exemplar for Engineering Self-Adaptive Cyber-Physical Systems-of-SystemsYong-Jun Shin, Lingjun Liu, Sangwon Hyun, Doo-Hwan Bae. SEAMS 2021: 231-237 [doi]

Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine LearningDanny Weyns, Bradley R. Schmerl, Masako Kishida, Alberto Leva, Marin Litoiu, Necmiye Ozay, Colin Paterson, Kenji Tei. SEAMS 2021: 217-223 [doi]

Enhancing Human-in-the-Loop Adaptive Systems through Digital Twins and VR InterfacesEnes Yigitbas, Kadiray Karakaya, Ivan Jovanovikj, Gregor Engels. SEAMS 2021: 30-40 [doi]

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