1^st International Workshop on Software Engineering for Engineering Simulations, and Simulation Engineering for Engineering Software (SE4ES) 2025

The intersection of software engineering and simulation engineering presents transformative opportunities for automation, efficiency, and innovation. This workshop aims to explore the bidirectional impact between these domains, focusing on automating simulation engineering through advanced software methodologies and simulation-driven software engineering for enhanced testing, validation, and decision-making. Bringing together researchers, industry professionals, and developers, the workshop will foster discussions on cutting-edge methodologies, challenges, and tools that enhance simulation workflows and software automation. Key topics include model-driven engineering for simulations, AI-driven tuning, continuous integration for simulation, simulation-based software testing, digital twins, and cross-domain interoperability. Participants will gain insights into emerging trends, best practices, and collaborative opportunities that drive advancements in cyber-physical systems, autonomous technologies, and AI-driven simulations.

Our workshop targets the following objectives:

Automating Simulation Engineering: Investigate how software engineering practices, especially modeling and automation, enhance the efficiency, reliability, and scalability of simulation models and workflows.
Simulation-driven Software Engineering: Examine how advanced simulation techniques contribute to software engineering, particularly in automating software testing, validation, and decision-making.

Topics

Topics include, but are not limited to:

Automating Simulation Engineering
- Model-Driven Engineering for Simulations: Applying MDE and code generation for automated simulation model development
- AI-Driven Simulation Model Tuning: Leveraging machine learning for auto-configuring and calibrating simulations
- Software Tool-chains for Simulation Automation: Enhancing workflow automation in multi-model or co-simulation environments
- Continuous Integration & Deployment (CI/CD) for Simulations: Applying DevOps and automation concepts to simulation software
Simulation for Software Engineering Automation
- Simulation-Based Software Testing: Using simulated environments for automated validation and verification of software
- Digital Twins in Software Development: Employing real-time simulation models to improve decision-making in software engineering
- Automated Debugging and Fault Prediction: Using simulation-driven analysis to automate bug detection and system resilience testing
- Self-Adaptive Systems: Designing software that leverages simulation feedback to optimize runtime behavior dynamically
Cross-Domain Integration and Emerging Trends
- Interoperability between Simulation and Software Engineering Tools: Automating data exchange between software development and simulation platforms
- Simulation in CPS and Autonomous Systems: Applying automation in highly integrated software-hardware environments
- Human-in-the-Loop Automation: Leveraging simulations to refine software automation with human feedback
- Future Challenges and Directions: Exploring emerging trends and open research questions at the intersection of these domains

Simulation scope (but not limited to):

Software-intensive system simulations: Models that represent the behavior, interactions, and performance of software-intensive systems, including their integration with hardware components in cyber-physical contexts.
Discrete-event and agent-based simulation: Particularly those used for analyzing complex systems with multiple interacting components and emergent behaviors.
Digital Twins and virtual environments: That enable what-if analysis, decision support, and exploration of design alternatives for software-intensive systems.
Enterprise and social system simulations: That support decision-making processes, policy evaluation, and strategic planning through computational models of organizational and social dynamics.

Application focus (but not limited to):

What-if and if-what analysis: Using simulations to explore the effects of design decisions, architecture alternatives, and implementation choices before committing resources.
Decision support: Leveraging simulation-based analysis to guide automated decision-making in complex software systems.
Design space exploration: Using simulations to systematically evaluate multiple design alternatives and automatically identify optimal solutions.
Predictive analysis: Employing simulations to forecast system behavior, resource requirements, and potential failures to enable proactive intervention.

Call for Contributions

Participants are invited to submit contributions of the following type:

Full research papers: Present a novel approach; page limit aligned with conference presets.
Industry application papers: Present an application of a tool, method, or technique in a specific (industry) context; page limit aligned with conference presets.
Short papers: Present new ideas, novel concepts, or early-stage research without a full evaluation; page limit aligned with conference presets.
Tool demonstrations: Present a concrete tool or application in the space of MDE and simulation; page limit aligned with conference presets.
Extended abstracts: Present an early idea, a plan for implementation, and evaluation; page limit aligned with conference presets.

All submissions must be double-blinded for peer review. Accepted papers will be presented during the workshop and all presented papers will be published in TBA.

Submissions must be in PDF following the ASE style and uploaded via TBA.

Important dates

Submission of papers: TBA
Notification of acceptance: TBA
Registration deadline workshop authors: TBA
Camera-ready version: November TBA
Workshop: TBA

Dates are Anywhere on Earth (AoE).

The workshop will be conducted physically!

Keynote Speakers

TBA

Schedule

TBA

Papers

TBA

Venue

Please check out the conference page for detailed information on the workshop's location.

Organizers

Philipp Zech is an assistant professor at the University of Innsbruck with a strong focus on model-driven engineering, specifically for digital twins thereby also investigating the application of simulation and machine learning for digital twins. He’s actively involved in organizing workshops on digital twin engineering and architectures (DTE, TwinArch).
Valdemar Vicente Graciano Neto s an Associate Professor at the Institute of Informatics (INF) at the Federal University of Goiás (UFG). He holds a double-degree Ph.D. in Computer Science and Computational Mathematics from the University of São Paulo (ICMC-USP) and in Information Science and Technology from the University of South Brittany, France. Supervisor for master's and Ph.D. students in the Graduate Program in Computer Science at UFG. His research interests include Simulation, Software Architecture, Model-Based Software Engineering, Systems of Systems, and Smart Cities. He has been involved in the organization of BlockArch at ICSA.
Souvik Barat is a Principal Scientist at Tata Consultancy Services (TCS) Research, India, visiting researcher at Middlesex University London and adjunct professor at Walchand College of Engineering. His research interests include Digital Twin technology, modeling and simulation, model-driven engineering and enterprise modeling.
Hans Vangheluwe is a professor in the computer science department at the University of Antwerp in Belgium. He leads the Modeling, Simulation and Design Lab (MSDL), which is also a core research lab of the Flemish Strategic Research Centre Flanders Make. Earlier, he was with the School of Computer Science of McGill University in Canada. He recently chaired the European COST Action 1404 on Multi-Paradigm Modelling for Cyber- Physical Systems (MPM4CPS).
Michael Vierhauser is an Assistant Professor (Tenure Track) at the Department of Computer Science, at the University of Innsbruck. His research interests include Safety Assurance, Requirements-based and Model-based Monitoring, and Diagnosis of Large-Scale Software Systems and Cyber-Physical Systems. He is involved in several international conference and workshop pro- gram committees (ICSE, ASE, SEAMS), and was part of the EDT.Community seminar series and MoLS workshop organizing committee.
Ankit Agarwal is an Assistant Professor in the Department of Computer Science at Saint Louis University. His research interests include simulation testing and analysis of uncrewed aerial systems and the design of high-fidelity simulation tools. He has developed novel simulation tools and testing methods and has been involved in several international conference program committees, such as ICSE and CAIN.
Ruth Breu is a full professor at the University of Innsbruck and Dean of the Faculty of Mathematics, Computer Science and Physics. She has long- standing expertise in the areas of requirements engineering, digital twin engineering and software quality. Together with her team, she has developed innovative digital twin knowledge bases.
Vinay Kulkarni is a TCS Fellow at Tata Consultancy Services Research where he heads Software Systems & Services Research. His research interests include Digital Twins, Adaptive Enterprises, Model Driven Engineering, Artificial Intelligence, and Software Engineering. An alumnus of Indian Institute of Technology Madras, Vinay is a Fellow of Indian National Academy of Engineering and Visiting Professor at Aston University Birmingham, Middlesex University London, and Indian Institute of Technology Jodhpur.

Technical Program Committee

Ankit Agrawal (University of St. Louis)
Souvik Barat (TCS Research)
Balbir Barn (Middlesex University)
Ruth Breu (University of Innsbruck)
Tony Clark (Aston University)
Istvan David (McMaster University)
Vinay Kulkarni (TCS Research)
Judith Michael (RWTH Aachen)
Saurabh Mittal (Mitre Cooperation)
Benjamin Nast (University of Rostock)
Pablo Antonino Olivera (Fraunhofer IESE)
Aditya Paranjape (Monash University)
Kurt Sandkuhl (University of Rostock)
Karthik Vaidhyanathan (IIIT Hyderabad)
Valdemar Vicente Graciano Neto (Universidade Federal de Goiás)
Hans Vangheluwe (University of Antwerp)
Michael Vierhauser (University of Innsbruck)
Philipp Zech (University of Innsbruck)

1st International Workshop on Software Engineering for Engineering Simulations, and Simulation Engineering for Engineering Software (SE4ES) 2025