Tracks & Topics

We solicit papers in the following five tracks: 

Track 1: Foundations of modeling & method engineering

Chairs: Anne Gutschmidt, Istvan David

• Definition and representation: conceptual modeling, metamodeling, method knowledge infrastructure, and method ontologies

• Agility in modeling and method engineering

• Situational method engineering

• Adaptation, extension, and configuration of methods and tools

• Maturity and quality of models and methods 

• Evolution and interoperability of models

• Modeling and method engineering for emerging computing technologies and approaches

• Ethical foundations of modeling

• Teaching and learning of modeling & method engineering

Track 2: Enterprise, business, process & capability modeling

Chairs:  Jānis Grabis, Simon Hacks

• Enterprise modeling approaches, architectures, and platforms

• Business models and ecosystems

• Modeling data-driven organizations

• Business process modeling, architectures, and evolution

• Reference modeling

• Capability-driven development 

Track 3: Information Systems (IS) & requirements modeling

Chairs: Roman Lukyanenko,  Marcela Ruiz

• Model-Driven development & Low/No-Code tools

• Modeling in agile development

• Crowd-based and collaborative modeling

• Social media, user-generated content modeling

• Traceability between software artifacts

• Experience in practice and education

• Challenges of requirements for and modeling emerging applications

Track 4: Domain-specific & knowledge modeling

Chairs: Robert Clarisó,  Tiago Prince Sales

• Metamodel and model engineering

• Design of Domain-Specific Languages (DSLs) and supporting tools 

• Multi-level and multi-perspective modeling

• Knowledge graphs

• Ontology and domain-specific analogy

• Applications of/with ontology and Domain-Specific Modeling (DSM)

Track 5: Evaluation of models & modeling approaches

Chairs: Qin Ma, Monique Snoeck

• Empirical / Experimental evaluation techniques

• Formal evaluation

• Evaluation through practice

• Evaluation through model simulation

• New methods for model or modeling evaluation

• Ontological-based evaluation and comparison 

• Evaluation of MDD-based methods and tools

• Applications in education