About

MODELS is the premier conference series for model-based software and systems engineering. Since 1998, MODELS has covered all aspects of modeling, from languages and methods to tools and applications. MODELS participants originate from a wide variety of backgrounds, including researchers, academics, engineers, and industry professionals.

MODELS 2026 is a forum for participants to share the latest research and practical experiences around modeling, modeling languages, and model-based software and systems engineering. Respective contributions advance the fundamentals of modeling and report applications of modeling in areas such as cyber-physical systems, embedded systems, socio-technical systems, cloud computing, big data, machine learning, security, open source, and sustainability.

Topics of Interest

MODELS 2026 solicits submissions on a variety of topics related to modeling for software and systems engineering including, but not limited to:

Fundamentals of model-based engineering, including the definition of syntax and semantics of modeling languages and model transformation languages.
New paradigms, formalisms, applications, approaches, frameworks, or processes for model-based engineering such as low-code/no-code development, digital twins, etc.
Definition, use, and analysis of model-based generative and re-engineering approaches.
Model-based monitoring, analysis, and adaptation heading towards intelligent systems.
Development of model-based systems engineering approaches and modeling-in-the-large, including interdisciplinary engineering and coordination.
Applications of AI, including generative AI, to model-related engineering problems, e.g., approaches based on search, machine learning, large language models (AI for modeling).
Model-based engineering foundations for AI-based systems (modeling for AI).
Human, organizational, and user-experience (UX) factors in model-based engineering.
Tools, meta-tools, and language workbenches for model-based engineering, including model management and scalable model repositories.
Hybrid multi-modeling approaches, i.e., integration of various modeling languages and their tools.
Evaluation and comparison of modeling languages, techniques, and tools.
Quality assurance (analysis, testing, verification, fidelity assessment) for functional and non-functional properties of models and model transformations.
Collaborative modeling to address team management issues, e.g., browser-based and cloud-enabled collaboration.
Evolution of modeling languages and related standards.
Modeling education, e.g., delivery methods and curriculum design.
Modeling in software engineering, e.g., applications of models to address common software engineering challenges.
Modeling for specific challenges such as collaboration, scalability, security, interoperability, adaptability, flexibility, maintainability, dependability, reuse, energy efficiency, sustainability, and uncertainty.
Modeling with, and for, novel systems and paradigms in fields such as security, cyber-physical systems (CPSs), the Internet of Things, cloud computing, DevOps, blockchain technology, data analytics, data science, machine learning, Big Data, systems engineering, socio-technical systems, critical infrastructures and services, robotics, mobile applications, conversational and agentic AI systems, and open-source software.
Empirical studies on the application of model-based engineering in areas such as smart manufacturing, smart cities, smart enterprises, smart mobility, smart society, etc.

As in previous years, MODELS 2026 offers two tracks for technical papers: the Foundations Track and the Practice Track. A detailed description of these tracks can be found on the Foundations Track and Practice Track pages, respectively.