Tracks & Topics

We solicit papers in the following five tracks: 

Track 1: Foundations of modeling & method engineering

Chairs: Jolita Ralyté, Janis Stirna

• 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, Paul Grefen 

• 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 

• Requirements modeling for emerging technologies

• Modeling in agile development

• Crowd-based and collaborative modeling

• Social media, user-generated content modeling

• Quality and Non-Functional Requirements (NFRs) of models and modeling

• Traceability between software artifacts

• Experience in practice and education

Track 4: Domain-specific & knowledge modeling

Chairs: Tiago Prince Sales , Arnon Sturm

• 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)

• Applying AI Algorithms (e.g., Reasoning, ML, Planning) to/with DSL and domain ontologies

Track 5: Evaluation of models & modeling approaches

Chairs: Renata Guizzardi, Qin Ma

• 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

Models-at-Work

EMMSAD'2023 presentations focusing on cases on the creation and/or use of models might be fast-tracked to the Models at Work initiative.