The AEDT workshop (4th International Workshop on Architecting and Engineering Digital Twins) addresses the role of software architecture in designing, modelling and maintaining digital twins as well as the role of digital twins in supporting the software architecture process. Systems and software architecture practices make heavy use of modeling, using methodologies to reason about a system already in the design phase. However, during operation (or runtime), the role of software architecture and models has been much less studied. Therefore, more research is needed to bridge the gap between system and software architecture, modeling for digitals twins and the physical world, as identified in several industrial initiatives. This includes system and simulation modeling that allows proper visualization and simulation of the systems to be developed early in the design phase, but also the integration of data collected during operation of the systems already developed back into the models used during design, thus supporting continuous engineering. In addition to these challenges for today's systems, future software and complex systems will increasingly require adaptive architectures and models that continuously adjust their behavior at runtime. For example, in the Industry 4.0 domain, the term cognitive digital twin has been coined to categorize digital twins that receive sensor data, reason about this data, and make decisions using AI technologies. Moreover, in safety-critical domains, there is a strong need to ensure that these autonomous decisions based on AI techniques such as neural networks do not lead to safety incidents.
Important Dates
- Paper Submission Deadline: December 20, 2024
- Notification of Acceptance: January 20, 2025
- Camera-Ready Submission: January 27, 2025
Topics
- Design and architecture of collaboration platforms to enable the joint engineering and maintenance of cyber- physical asset virtual replicas
- Architectural integration of system modeling, AI, and simulation as fundamental digital twin building blocks
- Model-based life cycle management and maintenance of digital twins in symbiosis with their cyber-physical assets
- Continuous quality assurance for cyber-physical assets and their architectures through digital twin monitoring, testing, and control
- The conceptual and architectural modeling of socio- techno-economic characteristics of large business and societal systems, including uncertainty, dynamism, and emergentism in space and time
- The use of digital twins in the description and evaluation of systems and software architectures, in particular how to architect with digital twins and how to architect digital twins
- Innovative solutions for describing (and possibly generating from models), maintaining, and co-evolving digital twin and physical twin architectures, as well as cyber-physical architectures that include digital twins
- Evaluation of industrial practices related to both reference and concrete modeling of architectures for digital twins and with digital twins, e.g., in manufacturing, automotive, construction, healthcare in the context of Industry 4.0 and Society 5.0
- The relationship between digital twin modeling, architectures and continuous engineering practices
- The role of digital twins as enablers of autonomous systems
- Epistemology of digital twins, aiming at properly characterize digital twins to understand what differentiates them from traditional executable models
Submission
Publication
The accepted papers will be published in ICSA 2025 Companion proceedings, and appear in IEEE Xplore Digital Library. Selected papers will be invited to submit an extended version to a Special Issue (TBA). Workshop papers submitted for the post-proceedings will undergo a minor revision cycle where the extensions with respect to the workshop versions will be checked by the reviewers.
Track Chairs
- Philipp Zech, University of Innsbruck, Austria, philipp.zech@uibk.ac.at
- Souvik Barat,Tata Consultancy Services (TCS) Research, India, souvik.barat@tcs.com
- Pablo Oliveira, Fraunhofer IESE, Germany, pablo.antonino@iese.fraunhofer.de
- Vinay Kulkarni, Tata Consultancy Services (TCS) Research, India, vinay.kulkarni@tcs.com
- Ruth Breu, University of Innsbruck, Austria, ruth.breu@uibk.ac.at
- Nour Ali, Brunel University, UK, nour.ali@brunel.ac.uk
- Tony Clark, Aston University, UK, tony.clark@aston.ac.uk
- Balbir Barn, Middlesex University, UK, b.barn@mdx.ac.uk
- Flavio Oquendo, IRISA Research Institute, France, flavio.oquendo@irisa.fr
- Bedir Tekinderogan, Wageningen University, Netherlands, bedir.tekinerdogan@wur.nl
Program Committee
- Nour Ali, Brunel University
- Souvik Barat, Tata Consultancy Services Research
- Balbir Barn, Middlesex University
- Ruth Breu, University of Innsbruck
- Tony Clark, Aston University
- Istvan David, McMaster University
- Alexandra Jäger, University of Innsbruck, Austria
- Simon Kranzer, FH Salzburg, Austria
- Vinay Kulkarni, Tata Consultancy Services Research
- Judith Michael, RWTH Aachen University
- Benjamin Nast, University of Rostock
- Pablo Oliveira Antonino, Fraunhofer IESE
- Flavio Oquendo, IRISA (UMR CNRS), Univ. of South Brittany, France
- Aditya Paranjape, Monash University
- Kurt Sandkuhl, University of Rostock
- Bedir Tekinerdogan, Wageningen University
- Michael Vierhauser, University
- Philipp Zech, University of Innsbruck