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Ilias Gerostathopoulos
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- affiliation: TU Munich, Department of Informatics, Germany
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2020 – today
- 2025
- [j23]Elvin Alberts
, Ilias Gerostathopoulos
Software architecture-based self-adaptation in robotics. J. Syst. Softw. 219: 112258 (2025) - 2024
- [j22]Elisabetta Di Nitto
Introduction to ACSOS 2022 Special Issue. ACM Trans. Auton. Adapt. Syst. 19(3): 14:1-14:3 (2024) - [c66]Elvin Alberts, Ilias Gerostathopoulos, Vincenzo Stoico, Patricia Lago:
ReBeT: Architecture-based Self-adaptation of Robotic Systems through Behavior Trees. ACSOS 2024: 1-10 - [c65]Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos, Petr Hnetynka, Tomás Bures:
ExpEngine: A Tool for Data Analytics Workflow Optimization Through User-Driven Experimentation. ACSOS-C 2024: 182-183 - [c64]Faezeh Amou Najafabadi
An Analysis of MLOps Architectures: A Systematic Mapping Study. ECSA 2024: 69-85 - [c63]Joran Leest
Expert Monitoring: Human-Centered Concept Drift Detection in Machine Learning Operations. NIER@ICSE 2024: 1-5 - [c62]Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Thomas Bures, Amleto Di Salle, Matthias Galster, Patricia Lago, Grace A. Lewis, Marin Litoiu, Angelika Musil, Juergen Musil, Panos Patros, Patrizio Pelliccione:
Self-Adaptation in Industry: A Survey. Software Engineering 2024: 59-60 - [i15]Joran Leest, Claudia Raibulet, Ilias Gerostathopoulos, Patricia Lago:
Expert-Driven Monitoring of Operational ML Models. CoRR abs/2401.11993 (2024) - [i14]Faezeh Amou Najafabadi, Justus Bogner, Ilias Gerostathopoulos, Patricia Lago:
An Analysis of MLOps Architectures: A Systematic Mapping Study. CoRR abs/2406.19847 (2024) - 2023
- [j21]Danny Weyns, Radu Calinescu, Raffaela Mirandola
Towards a Research Agenda for Understanding and ManagingUncertainty in Self-Adaptive Systems. ACM SIGSOFT Softw. Eng. Notes 48(4): 20-36 (2023) - [j20]Danny Weyns
Self-Adaptation in Industry: A Survey. ACM Trans. Auton. Adapt. Syst. 18(2): 5:1-5:44 (2023) - [c61]Joran Leest, Ilias Gerostathopoulos, Claudia Raibulet:
Evolvability of Machine Learning-based Systems: An Architectural Design Decision Framework. ICSA-C 2023: 106-110 - [c60]Gøran H. Strønstad, Ilias Gerostathopoulos, Emitzá Guzmán:
What's Next in my Backlog? Time Series Analysis of User Reviews. REW 2023: 154-161 - [c59]Gustavo Rezende Silva, Juliane Päßler
SUAVE: An Exemplar for Self-Adaptive Underwater Vehicles. SEAMS 2023: 181-187 - [i13]Gustavo Rezende Silva, Juliane Päßler, Jeroen Zwanepol, Elvin Alberts, Silvia Lizeth Tapia Tarifa, Ilias Gerostathopoulos, Einar Broch Johnsen, Carlos Hernández Corbato:
SUAVE: An Exemplar for Self-Adaptive Underwater Vehicles. CoRR abs/2303.09220 (2023) - 2022
- [j19]Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. ACM SIGSOFT Softw. Eng. Notes 47(4): 18-24 (2022) - [c58]Elvin Alberts
MockSAS: Facilitating the Evaluation of Bandit Algorithms in Self-adaptive Systems. ECSA (Tracks and Workshops) 2022: 183-198 - [c57]Ilias Gerostathopoulos
Assessing Self-Adaptation Strategies Using Cost-Benefit Analysis. ICSA Companion 2022: 92-95 - [c56]Ilias Gerostathopoulos
Expressing the Adaptation Intent as a Sustainability Goal. ICSE (NIER) 2022: 36-40 - [c55]Elvin Alberts
Measuring Convergence Inertia: Online Learning in Self-adaptive Systems with Context Shifts. ISoLA (3) 2022: 231-248 - [c54]Roberto Rodrigues Filho
Emergent Web Server: An Exemplar to Explore Online Learning in Compositional Self-Adaptive Systems. SEAMS 2022: 36-42 - [c53]Danny Weyns
Preliminary Results of a Survey on the Use of Self-Adaptation in Industry. SEAMS 2022: 70-76 - [e3]Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini
IEEE International Conference on Autonomic Computing and Self-Organizing Systems, ACSOS 2022, Virtual, CA, USA, September 19-23, 2022. IEEE 2022, ISBN 978-1-6654-7137-4 [contents] - [e2]Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini
IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022, Virtual, CA, USA, September 19-23, 2022. IEEE 2022, ISBN 978-1-6654-5142-0 [contents] - [e1]Ilias Gerostathopoulos
Software Architecture - 16th European Conference, ECSA 2022, Prague, Czech Republic, September 19-23, 2022, Proceedings. Lecture Notes in Computer Science 13444, Springer 2022, ISBN 978-3-031-16696-9 [contents] - [i12]Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomás Bures, Amleto Di Salle
Preliminary Results of a Survey on the Use of Self-Adaptation in Industry. CoRR abs/2204.06816 (2022) - [i11]Danny Weyns, Ilias Gerostathopoulos, Barbora Buhnova, Nicolás Cardozo, Emilia Cioroaica, Ivana Dusparic, Lars Grunske, Pooyan Jamshidi, Christine Julien, Judith Michael, Gabriel A. Moreno, Shiva Nejati, Patrizio Pelliccione, Federico Quin, Genaína Nunes Rodrigues, Bradley R. Schmerl, Marco Vieira
Guidelines for Artifacts to Support Industry-Relevant Research on Self-Adaptation. CoRR abs/2206.12492 (2022) - [i10]Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomás Bures
Self-Adaptation in Industry: A Survey. CoRR abs/2211.03116 (2022) - 2021
- [j18]Ilias Gerostathopoulos
Automated Online Experiment-Driven Adaptation-Mechanics and Cost Aspects. IEEE Access 9: 58079-58087 (2021) - [j17]Brionna Davis, Grace Jennings, Taylor Pothast, Ilias Gerostathopoulos
Decentralized Optimization of Vehicle Route Planning - A Cross-City Comparative Study. IEEE Internet Comput. 25(3): 34-42 (2021) - [j16]Lubomír Bulej
Managing latency in edge-cloud environment. J. Syst. Softw. 172: 110872 (2021) - [j15]Tomás Bures
Targeting uncertainty in smart CPS by confidence-based logic. J. Syst. Softw. 181: 111065 (2021) - [c52]Vasileios Theodorou
MEDAL: An AI-Driven Data Fabric Concept for Elastic Cloud-to-Edge Intelligence. AINA (3) 2021: 561-571 - [c51]Stefan Kugele
Towards a Taxonomy of Autonomous Systems. ECSA 2021: 37-45 - [c50]Tomás Bures
Aspect-Oriented Adaptation of Access Control Rules. SEAA 2021: 363-370 - [c49]Justus Bogner
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study. TechDebt@ICSE 2021: 64-73 - [c48]Lampros Yfantis, Simon M. Stebbins
A Software-Agnostic Agent-based Platform for Modelling Emerging Mobility Systems. MT-ITS 2021: 1-6 - [c47]Ilias Gerostathopoulos
How do we Evaluate Self-adaptive Software Systems?: A Ten-Year Perspective of SEAMS. SEAMS@ICSE 2021: 59-70 - [c46]Ana Petrovska, Malte Neuss, Ilias Gerostathopoulos
Run-time Reasoning from Uncertain Observations with Subjective Logic in Multi-Agent Self-Adaptive Cyber-Physical Systems. SEAMS@ICSE 2021: 130-141 - [p5]Ilias Gerostathopoulos, Alexander auf der Straße:
Online Experiment-Driven Learning and Adaptation. Model-Based Engineering of Collaborative Embedded Systems 2021: 295-303 - [d1]Ilias Gerostathopoulos
How do we Evaluate Self-adaptive Software Systems? [replication package]. Zenodo, 2021 - [i9]Vasileios Theodorou, Ilias Gerostathopoulos, Iyad Alshabani, Alberto Abelló, David Breitgand:
MEDAL: An AI-driven Data Fabric Concept for Elastic Cloud-to-Edge Intelligence. CoRR abs/2102.13125 (2021) - [i8]Justus Bogner, Roberto Verdecchia, Ilias Gerostathopoulos:
Characterizing Technical Debt and Antipatterns in AI-Based Systems: A Systematic Mapping Study. CoRR abs/2103.09783 (2021) - [i7]Ilias Gerostathopoulos, Thomas Vogel, Danny Weyns, Patricia Lago:
How do we Evaluate Self-adaptive Software Systems? CoRR abs/2103.11481 (2021) - [i6]Tomás Bures, Ilias Gerostathopoulos, Petr Hnetynka, Jan Pacovský:
Forming Ensembles at Runtime: A Machine Learning Approach. CoRR abs/2104.14848 (2021) - 2020
- [j14]Christian Krupitzer
Introduction to the Special Issue "Applications in Self-Aware Computing Systems and their Evaluation". Comput. 9(1): 22 (2020) - [j13]Tomás Bures
A language and framework for dynamic component ensembles in smart systems. Int. J. Softw. Tools Technol. Transf. 22(4): 497-509 (2020) - [c45]Markus böbel, Ilias Gerostathopoulos
A Toolbox for Realtime Timeseries Anomaly Detection. ICSA Companion 2020: 278-281 - [c44]Ana Petrovska, Sergio Quijano
Knowledge aggregation with subjective logic in multi-agent self-adaptive cyber-physical systems. SEAMS@ICSE 2020: 149-155 - [c43]Petr Hnetynka
Using component ensembles for modeling autonomic component collaboration in smart farming. SEAMS@ICSE 2020: 156-162 - [c42]Nikos Diamantopoulos, Jeffrey Wong, David Issa Mattos, Ilias Gerostathopoulos
Engineering for a science-centric experimentation platform. ICSE (SEIP) 2020: 191-200 - [c41]Tomás Bures
Forming Ensembles at Runtime: A Machine Learning Approach. ISoLA (2) 2020: 440-456 - [c40]Florian Hauer, Ilias Gerostathopoulos
Clustering Traffic Scenarios Using Mental Models as Little as Possible. IV 2020: 1007-1012 - [i5]Brionna Davis, Grace Jennings, Taylor Pothast, Ilias Gerostathopoulos, Evangelos Pournaras, Raphael E. Stern:
Decentralized Optimization of Vehicle Route Planning - A Cross-City Comparative Study. CoRR abs/2001.03384 (2020) - [i4]Lubomír Bulej, Tomás Bures, Adam Filandr, Petr Hnetynka, Iveta Hnetynková, Jan Pacovsky, Gabor Sandor, Ilias Gerostathopoulos:
Managing Latency in Edge-Cloud Environment. CoRR abs/2011.11450 (2020)
2010 – 2019
- 2019
- [j12]Emilia Cioroaica, Florian Pudlitz
Simulation methods and tools for collaborative embedded systems: with focus on the automotive smart ecosystems. SICS Softw.-Intensive Cyber Phys. Syst. 34(4): 213-223 (2019) - [j11]Ilias Gerostathopoulos
Tuning self-adaptation in cyber-physical systems through architectural homeostasis. J. Syst. Softw. 148: 37-55 (2019) - [j10]Ilias Gerostathopoulos, Marco Konersmann, Stephan Krusche, David Issa Mattos, Jan Bosch, Tomás Bures, Brian Fitzgerald, Michael Goedicke, Henry Muccini, Helena Holmström Olsson, Thomas Brand, Robert Chatley, Nikolaos Diamantopoulos, Arik Friedman, Miguel Jiménez, Jan Ole Johanssen, Putra Manggala, Masumi Koseki, Jorge Melegati, Nuthan Munaiah, Gabriel Tamura, Vasileios Theodorou
Continuous Data-driven Software Engineering - Towards a Research Agenda: Report on the Joint 5th International Workshop on Rapid Continuous Software Engineering (RCoSE 2019) and 1st International Works. ACM SIGSOFT Softw. Eng. Notes 44(3): 60-64 (2019) - [c39]Md Rakibul Alam, Ilias Gerostathopoulos
A Framework for Tunable Anomaly Detection. ICSA 2019: 201-210 - [c38]Ilias Gerostathopoulos
TRAPPed in traffic?: a self-adaptive framework for decentralized traffic optimization. SEAMS@ICSE 2019: 32-38 - [c37]Apostolis Zarras
Can Today's Machine Learning Pass Image-Based Turing Tests? ISC 2019: 129-148 - [c36]Ilias Gerostathopoulos, Stefan Kugele, Christoph Segler, Tomás Bures
Automated Trainability Evaluation for Smart Software Functions. ASE 2019: 998-1001 - [c35]Md Rakibul Alam, Ilias Gerostathopoulos
Adaptable Anomaly Detection in Traffic Flow Time Series. MT-ITS 2019: 1-9 - [c34]Erik M. Fredericks, Ilias Gerostathopoulos
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. SASO 2019: 1-10 - [p4]Vladimír Matena, Tomás Bures
Experimenting with Adaptation in Smart Cyber-Physical Systems: A Model Problem and Testbed. Engineering Adaptive Software Systems 2019: 149-169 - [i3]Erik M. Fredericks, Ilias Gerostathopoulos, Christian Krupitzer, Thomas Vogel:
Planning as Optimization: Dynamically Discovering Optimal Configurations for Runtime Situations. CoRR abs/1905.01071 (2019) - [i2]Nikos Diamantopoulos, Jeffrey Wong, David Issa Mattos, Ilias Gerostathopoulos, Matthew Wardrop, Tobias Mao, Colin McFarland:
Engineering for a Science-Centric Experimentation Platform. CoRR abs/1910.03878 (2019) - 2018
- [j9]Claudia Raibulet, Mariagrazia Fugini, Khalil Drira, Patrizio Pelliccione, Ilias Gerostathopoulos, Christian Prehofer, Klaus Moessner:
Report of the 1st International Workshop on Context-aware Autonomous and Smart Architectures (CASA@ECSA 2017). ACM SIGSOFT Softw. Eng. Notes 43(4): 24-27 (2018) - [j8]Claudia Raibulet, Mariagrazia Fugini, Khalil Drira, Patrizio Pelliccione, Ilias Gerostathopoulos, Christian Prefoher, Klaus Moessner:
Report of the 1st International Workshop on Context-aware Autonomous and Smart Architectures (CASA@ECSA 2017). ACM SIGSOFT Softw. Eng. Notes 43(4): 52-53 (2018) - [c33]Petr Hnetynka
Guaranteed latency applications in edge-cloud environment. ECSA (Companion) 2018: 43:1-43:4 - [c32]Ilias Gerostathopoulos
Cost-Aware Stage-Based Experimentation: Challenges and Emerging Results. ICSA Companion 2018: 72-75 - [c31]Ilias Gerostathopoulos
Adapting a system with noisy outputs with statistical guarantees. SEAMS@ICSE 2018: 58-68 - [c30]Tanmaya Mahapatra
Graphical Spark Programming in IoT Mashup Tools. IoTSMS 2018: 163-170 - [c29]Ilias Gerostathopoulos
A Tool for Online Experiment-Driven Adaptation. FAS*W@SASO/ICAC 2018: 100-105 - [c28]Tanmaya Mahapatra
Stream Analytics in IoT Mashup Tools. VL/HCC 2018: 227-231 - 2017
- [j7]Sanny Schmid, Ilias Gerostathopoulos, Christian Prehofer, Tomás Bures:
Model Problem (CrowdNav) and Framework (RTX) for Self-Adaptation Based on Big Data Analytics (Artifact). Dagstuhl Artifacts Ser. 3(1): 05:1-05:3 (2017) - [j6]Filip Krijt, Zbynek Jirácek, Tomás Bures, Petr Hnetynka, Ilias Gerostathopoulos:
Intelligent Ensembles - a Declarative Group Description Language and Java Framework (Artifact). Dagstuhl Artifacts Ser. 3(1): 06:1-06:3 (2017) - [j5]Tomás Bures, Danny Weyns, Bradley R. Schmerl, Eduardo Tovar, Eric Boden, Thomas Gabor, Ilias Gerostathopoulos, Pragya Gupta, Eunsuk Kang, Alessia Knauss, Pankesh Patel, Awais Rashid
Software Engineering for Smart Cyber-Physical Systems: Challenges and Promising Solutions. ACM SIGSOFT Softw. Eng. Notes 42(2): 19-24 (2017) - [j4]Antonio Filieri
Control Strategies for Self-Adaptive Software Systems. ACM Trans. Auton. Adapt. Syst. 11(4): 24:1-24:31 (2017) - [j3]Ilias Gerostathopoulos
Strengthening Adaptation in Cyber-Physical Systems via Meta-Adaptation Strategies. ACM Trans. Cyber Phys. Syst. 1(3): 13:1-13:25 (2017) - [c27]Vasileios Theodorou
Theta Architecture: Preserving the Quality of Analytics in Data-Driven Systems. ADBIS (Short Papers and Workshops) 2017: 186-198 - [c26]Georgios Pipelidis, Christian Prehofer, Ilias Gerostathopoulos
Bootstrapping the Dynamic Generation of Indoor Maps with Crowdsourced Smartphone Sensor Data. GISTAM (Selected Papers) 2017: 70-84 - [c25]Georgios Pipelidis, Christian Prehofer, Ilias Gerostathopoulos
Adaptive Bootstrapping for Crowdsourced Indoor Maps. GISTAM 2017: 284-289 - [c24]Sanny Schmid, Ilias Gerostathopoulos
Self-Adaptation Based on Big Data Analytics: A Model Problem and Tool. SEAMS@ICSE 2017: 102-108 - [c23]Filip Krijt, Zbynek Jirácek
Intelligent Ensembles - A Declarative Group Description Language and Java Framework. SEAMS@ICSE 2017: 116-122 - [c22]Sasan Amini
Big data analytics architecture for real-time traffic control. MT-ITS 2017: 710-715 - [p3]Christian Prehofer, Ilias Gerostathopoulos
Modeling RESTful Web of Things Services: Concepts and Tools. Managing the Web of Things 2017: 73-104 - 2016
- [j2]Ilias Gerostathopoulos
Self-adaptation in software-intensive cyber-physical systems: From system goals to architecture configurations. J. Syst. Softw. 122: 378-397 (2016) - [c21]Ilias Gerostathopoulos
Towards systematic live experimentation in software-intensive systems of systems. SiSoS@ECSA 2016: 7:1-7:7 - [c20]Ilias Gerostathopoulos
Architectural Homeostasis in Self-Adaptive Software-Intensive Cyber-Physical Systems. ECSA 2016: 113-128 - [c19]Vladimír Matena
Model problem and testbed for experiments with adaptation in smart cyber-physical systems. SEAMS@ICSE 2016: 82-88 - [c18]Sanny Schmid, Ilias Gerostathopoulos
QryGraph: A graphical tool for Big Data analytics. SMC 2016: 4028-4033 - [c17]Tanmaya Mahapatra
Towards Integration of Big Data Analytics in Internet of Things Mashup Tools. WoT 2016: 11-16 - 2015
- [j1]Tomás Bures, Danny Weyns
Software Engineering for Smart Cyber-Physical Systems - Towards a Research Agenda: Report on the First International Workshop on Software Engineering for Smart CPS. ACM SIGSOFT Softw. Eng. Notes 40(6): 28-32 (2015) - [c16]Tomás Bures, Ilias Gerostathopoulos, Jaroslav Keznikl, Frantisek Plásil
Formalization of Invariant Patterns for the Invariant Refinement Method. Software, Services, and Systems 2015: 602-618 - [c15]Ilias Gerostathopoulos
Meta-Adaptation Strategies for Adaptation in Cyber-Physical Systems. ECSA 2015: 45-52 - [c14]Sebastian Götz, Ilias Gerostathopoulos
Adaptive Exchange of Distributed Partial Models@run.time for Highly Dynamic Systems. SEAMS@ICSE 2015: 64-70 - [c13]Antonio Filieri
Software Engineering Meets Control Theory. SEAMS@ICSE 2015: 71-82 - [c12]Michal Kit, Ilias Gerostathopoulos
An Architecture Framework for Experimentations with Self-Adaptive Cyber-physical Systems. SEAMS@ICSE 2015: 93-96 - [p2]Lubomír Bulej, Tomás Bures, Ilias Gerostathopoulos, Vojtech Horký, Jaroslav Keznikl, Lukás Marek, Max Tschaikowski
Supporting Performance Awareness in Autonomous Ensembles. The ASCENS Approach 2015: 291-322 - [p1]Tomás Bures, Ilias Gerostathopoulos, Petr Hnetynka
The Invariant Refinement Method. The ASCENS Approach 2015: 405-428 - 2014
- [c11]Tomás Bures
Gossiping Components for Cyber-Physical Systems. ECSA 2014: 250-266 - [c10]Ilias Gerostathopoulos, Jaroslav Keznikl, Tomás Bures, Michal Kit, Frantisek Plásil:
Software Engineering for Software-Intensive Cyber-Physical Systems. GI-Jahrestagung 2014: 1179-1190 - [c9]Rima Al Ali, Tomás Bures
DEECo: an ecosystem for cyber-physical systems. ICSE Companion 2014: 610-611 - [c8]Ilias Gerostathopoulos:
Model-Driven Design of Ensemble-Based Component Systems. PSRC@MoDELS 2014: 57-62 - [c7]Rima Al Ali, Tomás Bures
Architecture Adaptation Based on Belief Inaccuracy Estimation. WICSA 2014: 87-90 - [c6]Rima Al Ali, Ilias Gerostathopoulos
An Architecture-Based Approach for Compute-Intensive Pervasive Systems in Dynamic Environments. HotTopiCS@ICPE 2014: 3:1-3:6 - [i1]Tomás Bures, Ilias Gerostathopoulos, Rima Al Ali:
DEECo: Software Engineering for Smart CPS. ERCIM News 2014(97) (2014) - 2013
- [c5]Tomás Bures
DEECO: an ensemble-based component system. CBSE 2013: 81-90 - [c4]Jaroslav Keznikl, Tomás Bures
Design of ensemble-based component systems by invariant refinement. CBSE 2013: 91-100 - [c3]Tomás Bures
A Life Cycle for the Development of Autonomic Systems: The E-mobility Showcase. SASO Workshops 2013: 71-76 - [c2]Ilias Gerostathopoulos
Position paper: towards a requirements-driven design of ensemble-based component systems. HotTopiCS 2013: 79-86 - 2011
- [c1]George K. Kyriazos, Ilias Gerostathopoulos
A semantically-aided approach for online annotation and retrieval of medical images. EMBC 2011: 2372-2375
Coauthor Index
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