When and how to visualize traceability links?
TEFSE '05 Proceedings of the 3rd international workshop on Traceability in emerging forms of software engineering
Automated impact analysis of UML models
Journal of Systems and Software
ACM Transactions on Software Engineering and Methodology (TOSEM)
ATL: A model transformation tool
Science of Computer Programming
Constructing and Visualizing Transformation Chains
ECMDA-FA '08 Proceedings of the 4th European conference on Model Driven Architecture: Foundations and Applications
Automating Co-evolution in Model-Driven Engineering
EDOC '08 Proceedings of the 2008 12th International IEEE Enterprise Distributed Object Computing Conference
COPE - Automating Coupled Evolution of Metamodels and Models
Genoa Proceedings of the 23rd European Conference on ECOOP 2009 --- Object-Oriented Programming
Model migration with epsilon flock
ICMT'10 Proceedings of the Third international conference on Theory and practice of model transformations
Automated co-evolution of GMF editor models
SLE'10 Proceedings of the Third international conference on Software language engineering
A framework for evolution of modelling languages
Science of Computer Programming
What is needed for managing co-evolution in MDE?
Proceedings of the 2nd International Workshop on Model Comparison in Practice
A novel approach to semi-automated evolution of DSML model transformation
SLE'09 Proceedings of the Second international conference on Software Language Engineering
Traceability visualization in model transformations with tracevis
ICMT'12 Proceedings of the 5th international conference on Theory and Practice of Model Transformations
Metamodel adaptation and model co-adaptation
ECOOP'07 Proceedings of the 21st European conference on Object-Oriented Programming
Evolutionary togetherness: how to manage coupled evolution in metamodeling ecosystems
ICGT'12 Proceedings of the 6th international conference on Graph Transformations
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In Model-Driven Engineering metamodels are typically at the core of an ecosystem of artifacts assembled for a shared purpose. Therefore, modifying a metamodel requires care and skill as it might compromise the integrity of the ecosystem. Any change in the metamodel cannot prescind from recovering the ecosystem validity. However this has been proven to be intrinsically difficult, error-prone, and labour-intensive. This paper discusses how to generate and visualize traceability information about the dependencies between artifacts in a ecosystem and their related metamodel. Being able to understand how and where changes affect the ecosystem by means of intuitive and straightforward visualization techniques can help the modeler in deciding whether the changes are sustainable or not at an early stage of the modification process.