Automated abstraction of class diagrams
ACM Transactions on Software Engineering and Methodology (TOSEM)
Heterogeneous view integration and its automation
Heterogeneous view integration and its automation
A Metamodel Based Model Transformation Approach
SERA '05 Proceedings of the Third ACIS Int'l Conference on Software Engineering Research, Management and Applications
Automating model transformation by example using inductive logic programming
Proceedings of the 2007 ACM symposium on Applied computing
Model-driven Development of Complex Software: A Research Roadmap
FOSE '07 2007 Future of Software Engineering
Towards Model Transformation Generation By-Example
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Applying particle swarm optimization to software testing
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Applying model transformation by-example on business process modeling languages
ER'07 Proceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications
Model transformation by example
MoDELS'06 Proceedings of the 9th international conference on Model Driven Engineering Languages and Systems
MoDELS'05 Proceedings of the 2005 international conference on Satellite Events at the MoDELS
Model-to-model transformations by demonstration
ICMT'10 Proceedings of the Third international conference on Theory and practice of model transformations
Sequence diagram to colored Petri nets transformation testing: an immune system metaphor
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Example-based model-transformation testing
Automated Software Engineering
Search-based design defects detection by example
FASE'11/ETAPS'11 Proceedings of the 14th international conference on Fundamental approaches to software engineering: part of the joint European conferences on theory and practice of software
Easing model transformation learning with automatically aligned examples
ECMFA'11 Proceedings of the 7th European conference on Modelling foundations and applications
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
Example-Based sequence diagrams to colored petri nets transformation using heuristic search
ECMFA'10 Proceedings of the 6th European conference on Modelling Foundations and Applications
Model search: formalizing and automating constraint solving in MDE platforms
ECMFA'10 Proceedings of the 6th European conference on Modelling Foundations and Applications
CBSE'10 Proceedings of the 13th international conference on Component-Based Software Engineering
Model transformation by-example: a survey of the first wave
Conceptual Modelling and Its Theoretical Foundations
Survey: A survey on search-based software design
Computer Science Review
Search-based model transformation by example
Software and Systems Modeling (SoSyM)
Generating model transformation rules from examples using an evolutionary algorithm
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Search-based software engineering: Trends, techniques and applications
ACM Computing Surveys (CSUR)
Generation of operational transformation rules from examples of model transformations
MODELS'12 Proceedings of the 15th international conference on Model Driven Engineering Languages and Systems
International Journal of Information System Modeling and Design
Proceedings of the 2013 International Conference on Software Engineering
ECMFA'13 Proceedings of the 9th European conference on Modelling Foundations and Applications
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Most of the available work on model transformation is based on the hypothesis that transformation rules exist and that the important issue is how to express them. But in real life, the rules may be difficult to define; this is often the case when the source and/or target formalisms are not widely used or proprietary. In this paper, we consider the transformation mechanism as a combinatorial optimization problem where the goal is to find a good transformation starting from a small set of available examples. Our approach, named model transformation as optimization by examples (MOTOE), combines transformation blocks extracted from examples to generate a target model. To that end, we use an adapted version of particle swarm optimization (PSO) where transformation solutions are modeled as particles that exchange transformation blocks to converge towards an optimal transformation solution. MOTOE has two main advantages: It proposes a transformation without the need to derive transformation rules first, and it can operate independently from the source and target metamodels.