Opened Access Search-Based Model Transformations with MOMoT

Citas

buscar en

Estadísticas
Icon
Exportar a
Autor: Fleck, Martin
Troya Castilla, Javier
Wimmer, Manuel
Departamento: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Fecha: 2016
Publicado en: ICMT 2016: 9th International Conference on Theory and Practice of Model Transformations (2016), p 79-87
ISBN/ISSN: 978-3-319-42063-9
0302-9743
Tipo de documento: Ponencia
Resumen: Many scenarios require flexible model transformations as their execution should of course produce models with the best possible quality. At the same time, transformation problems often span a very large search space with respect to possible transformation results. Thus, guidance for transformation executions to find good solutions without enumerating the complete search space is a must. This paper presents MOMoT, a tool combining the power of model transformation engines and meta-heuristics search algorithms. This allows to develop model transformation rules as known from existing approaches, but for guiding their execution, the transformation engineers only have to specify transformation goals, and then the search algorithms take care of orchestrating the set of transformation rules to find models best fulfilling the stated, potentially conflicting transformation goals. For this, MOMoT allows to use a variety of different search algorithms. MOMoT is available as an open...
[Ver más]
Cita: Fleck, M., Troya Castilla, J. y Wimmer, M. (2016). Search-Based Model Transformations with MOMoT. En ICMT 2016: 9th International Conference on Theory and Practice of Model Transformations (79-87), Vienna, Austria: Springer.
Tamaño: 549.7Kb
Formato: PDF

URI: https://hdl.handle.net/11441/73303

DOI: 10.1007/978-3-319-42064-6_6

Ver versión del editor

Mostrar el registro completo del ítem


Esta obra está bajo una Licencia Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internacional

Este registro aparece en las siguientes colecciones