2nd International Workshop on Software Engineering for Engineering Simulations, and Simulation Engineering for Engineering Software (SE4ES) 2026
Co-located with the ACM International Conference on the Foundations of Software Engineering (FSE) 2026, Montreal, Canada
In today’s rapidly evolving technological landscape, integrating software engineering and simulation engineering is essential for innovations in areas like Digital Twins, Cyber-Physical Systems (CPS), and autonomous technologies. As enterprises seek resilience and adaptability, simulations offer a pragmatic method for navigating uncertainties and exploring decision-making. Conversely, embedding simulation practices in software engineering enhances testing, validation, and adaptive decision-making. However, challenges in interoperability, scalability, and automation remain. By adopting and extending modern software engineering methods, these gaps can be bridged, improving model development and adaptability while reducing domain expert reliance. This workshop addresses these challenges and aligns with Industry 4.0 goals. The journey to achieving this integration is not without challenges. Current methodologies struggle with issues of interoperability, scalability, and real-time adaptability. These persistent gaps highlight the need for innovative solutions that enhance model accuracy and streamline validation processes. Traditional approaches often fall short, necessitating a fresh perspective on how simulations can be made more efficient and adaptable to the dynamic requirements of modern systems. The SE4ES workshop is at the forefront of addressing these issues, providing a unique platform for collaboration between software and simulation engineering experts. Our aim is to advance the integration of these disciplines, ensuring simulations meet the rigorous demands of today’s applications. By fostering discussions on emerging trends and methodologies, the workshop aligns with Industry 4.0 goals and the broader digital transformation.
The SE4ES workshop is dedicated to exploring the dynamic interplay between software and simulation engineering through several key objectives:
Automating Simulation Engineering
Leverage software engineering practices to enhance the efficiency and reliability of simulation models and tools through model-driven engineering and code generation.
Simulation-driven Software Engineering
Utilize advanced simulation techniques for improved software testing, validation, and adaptive decision-making using Digital Twins and feedback systems.
Enhancing Interoperability and Scalability
Develop methodologies and tools that enable seamless integration between diverse software components and simulation models, managing complexity efficiently.
Cross-Domain Integration and Emerging Trends
Explore the integration of tools across domains, focusing on human-in-the-loop simulations and identifying future challenges and research directions.
Fostering Collaborative Innovation
Provide a collaborative platform for researchers and industry professionals to drive technological progress and explore new pathways in simulation and software engineering.
SE4ES endeavors to illuminate new pathways in the field, fostering an environment where ideas can thrive and transformative advancements can be realized, contributing significantly to the ongoing digital transformation.
Topics
SE4ES invites contributions that delve into ground-breaking methodologies, emerging trends, and tools at the convergence of software and simulation engineering. We are particularly interested (but not restricted) in the following topics:
Advancements in Simulation Automation
- AI-Driven Model Calibration: Leveraging artificial intelligence to enhance the precision and adaptability of simulation models.
- Next-Generation Model-Driven Engineering: Innovating in advanced MDE and code generation techniques for efficient simulation model development.
- Comprehensive Automation Tool-Chains: Creating integrated tool-chains that streamline automation across multi-model and co-simulation environments.
Simulation-Enhanced Software Engineering
- Autonomous Testing Frameworks: Designing cutting-edge simulation-based environments for automated software testing and validation.
- Dynamic Digital Twin Utilization: Utilizing real-time Digital Twins for superior decision-making and predictive analytics in software engineering.
- Proactive Fault Management: Implementing simulation-driven approaches to predict, detect, and mitigate software faults and vulnerabilities.
Emerging Synergies and Trends
- Interoperability Frameworks: Developing robust solutions for seamless data exchange between diverse simulation and software engineering platforms.
- Innovative Applications in CPS and Autonomous Systems: Exploring the potential of simulation automation in cyber-physical systems and autonomous technologies.
- Human-Integrated Simulation Feedback: Incorporating human-in-the-loop feedback mechanisms to refine and enhance software automation processes.
- Future Research Directions: Identifying ground-breaking challenges and innovative research opportunities at the convergence of these domains.
Submission Guidelines
All submissions will be peer-reviewed by at least three members of the program committee. They will be evaluated based on originality, contribution to the field, technical and presentation quality, and relevance to the workshop.
- Please consider the following formats:
- Full papers (max. 8 pages) describing original, complete, and validated research;
- Position/Short papers (max. 4 pages) that describe forward-looking, visionary ideas and/or in-progress works with emerging results, thought-provoking reflections, or that set potential new directions for the community;
- Tool and artifacts papers (max. 4 pages) for researchers who want to present tools, extensions of tools or artifacts (e.g., datasets for benchmarks), relevant to the workshop.
Important dates
Keynote Speakers
TBA
Schedule
TBA
Track Chairs
Ass-Prof. Philipp Zech
Department of Computer Science, University of Innsbruck, Innsbruck, Austria
Ass-Prof. Valdemar Vicente Graciano Neto
Universidade Federal de Goiás, Goiânia, Brasil
Dr. Souvik Barat
TCS Research, Pune, India
Prof. Hans Vangheluwe
University of Antwerp and Flanders Make, Antwerp, Belgium
Dr. Vinay Kulkarni
TCS Research, Pune, India
Program Committee
- Ankit Agrawal (University of St. Louis)
- Balbir Barn (Middlesex University)
- Ruth Breu (University of Innsbruck)
- Tony Clark (Aston University)
- Istvan David (McMaster University)
- 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)
- Michael Vierhauser (University of Innsbruck)