International Conference on Model Driven Engineering Languages and Systems

Resumen General

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 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.\n\nTopics of Interest:\nMODELS 2026 solicits submissions on a variety of topics related to modeling for software and systems engineering including, but not limited to:\n- Fundamentals of model-based engineering, including the definition of syntax and semantics of modeling languages and model transformation languages.\n- New paradigms, formalisms, applications, approaches, frameworks, or processes for model-based engineering such as low-code/no-code development, digital twins, etc.\n- Definition, use, and analysis of model-based generative and re-engineering approaches.\n- Model-based monitoring, analysis, and adaptation heading towards intelligent systems.\n- Development of model-based systems engineering approaches and modeling-in-the-large, including interdisciplinary engineering and coordination.\n- 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).\n- Model-based engineering foundations for AI-based systems (modeling for AI).\n- Human, organizational, and user-experience (UX) factors in model-based engineering.\n- Tools, meta-tools, and language workbenches for model-based engineering, including model management and scalable model repositories.\n- Hybrid multi-modeling approaches, i.e., integration of various modeling languages and their tools.\n- Evaluation and comparison of modeling languages, techniques, and tools.\n- Quality assurance (analysis, testing, verification, fidelity assessment) for functional and non-functional properties of models and model transformations.\n- Collaborative modeling to address team management issues, e.g., browser-based and cloud-enabled collaboration.\n- Evolution of modeling languages and related standards.\n- Modeling education, e.g., delivery methods and curriculum design.\n- Modeling in software engineering, e.g., applications of models to address common software engineering challenges.\n- Modeling for specific challenges such as collaboration, scalability, security, interoperability, adaptability, flexibility, maintainability, dependability, reuse, energy efficiency, sustainability, and uncertainty.\n- 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.\n- Empirical studies on the application of model-based engineering in areas such as smart manufacturing, smart cities, smart enterprises, smart mobility, smart society, etc.\n\nAs in previous years, MODELS 2026 offers two tracks for technical papers: the Foundations Track and the Practice Track.

Clasificación de la Fuente

Mapa