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Tracks & Topics

We solicit papers in the following five tracks: 

Foundations of modeling & method engineering:

Chairs: Oscar Pastor & Jolita Ralyté

  • Definition and representation: conceptual modeling, metamodeling, method knowledge infrastructure, and method ontologies
  • Agility in method engineering
  • Situational method engineering
  • Maturity and quality of methods and models
  • Method adaptation, extension and configuration
Enterprise, business process & capability modeling:
Chairs: Paul Grefen & Dimitris Karagiannis 
  • Enterprise modeling approaches, architectures, and platforms
  • Modeling enterprise ecosystems
  • Business process modeling, architectures, and evolution
  • Reference modeling: enterprise reference models, business reference models, process reference models, reference modeling for enterprise specification
  • Capability-driven development and business capability modeling

Information Systems (IS) & requirements modeling:

Chairs: Monique Snoeck & Arnon Sturm 
  • Model-driven development: IS, requirements, software, and in between
  • IS & requirements modeling in agile development
  • Crowd-based and collaborative modeling of IS and requirements
  • Traceability between artifacts/processes of IS and requirements engineering 
  • Experience with IS and requirements modeling in practice and education
Domain-specific & ontology modeling:
Chairs: Tony Clark & Heinrich C. Mayr
  • Metamodel and model engineering: new approaches, techniques, tools
  • Language and tool design: utilization of domain-specific, ontology, conceptual approaches
  • Multi-level and multi-perspective modeling: new approaches or evaluation of existing approaches
  • New and emerging areas: modeling approaches, analysis & design processes
  • Wicked problems and open issues: challenges, visions, proposed solutions, experience, and case studies
Evaluation of modeling approaches:
Chairs: Renata Guizzardi & Jennifer Horkoff
  • Empirical evaluation: measurement theory, experimental design, families of experiments, quantitative approaches, qualitative approaches, grounded theory, protocol studies, systematic reviews and evidence-based approaches
  • Industrial experience: experimental reports, case studies, action research
  • Model evaluation using formal approaches:  improving quality, design and utility of modeling languages or instances using approaches such as formal methods, reasoning, or model checking
  • (Re)Design of modeling approaches:  evaluating and improving model language or instance design using methods such as ontological analysis, theoretical knowledge, or new conceptual knowledge
  • New ideas for measurement, evaluation, and comparison of modeling approaches