Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Ant Colony Optimization
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
Managing Model Adaptation by Precise Detection of Metamodel Changes
ECMDA-FA '09 Proceedings of the 5th European Conference on Model Driven Architecture - Foundations and Applications
COPE - Automating Coupled Evolution of Metamodels and Models
Genoa Proceedings of the 23rd European Conference on ECOOP 2009 --- Object-Oriented Programming
Barriers to systematic model transformation testing
Communications of the ACM
A Field Guide to Genetic Programming
A Field Guide to Genetic Programming
Model migration with epsilon flock
ICMT'10 Proceedings of the Third international conference on Theory and practice of model transformations
A comparison of model migration tools
MODELS'10 Proceedings of the 13th international conference on Model driven engineering languages and systems: Part I
An extensive catalog of operators for the coupled evolution of metamodels and models
SLE'10 Proceedings of the Third international conference on Software language engineering
A manifesto for semantic model differencing
MODELS'10 Proceedings of the 2010 international conference on Models in software engineering
CDDiff: semantic differencing for class diagrams
Proceedings of the 25th European conference on Object-oriented programming
Language evolution in practice: the history of GMF
SLE'09 Proceedings of the Second international conference on Software Language Engineering
Search-based model transformation by example
Software and Systems Modeling (SoSyM)
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Metamodels, like many software artefacts, are subject to evolution. If a metamodel evolves, models that previously conformed to the metamodel may become non-conformant, and must be migrated to reestablish conformance. Manually migrating models can be tedious and error prone, and a number of solutions have arisen to aid in the creation of a migration strategy - a model transformation which automates the migration. This paper asks whether we can make use of research in the field of Search-Based Software Engineering to automatically discover migration strategies, and discusses the challenges involved. In particular, we explore how tools that provide coupled evolution of metamodels and models provide a suitable platform for which to apply search techniques.