RT Conference Proceedings
T1 Towards Approximate Model Transformations
A1 Troya-Castilla, Javier
A1 Wimmer, Manuel
A1 Vallecillo-Moreno, Antonio Jesús
A1 Burgueño-Caballero, Lola
K1 Modelos, Teoría de
AB As the size and complexity of models grow, there is a need to count on novel mechanisms and tools for transforming them. This is required, e.g., when model transformations need to provide target models without having access to the complete source models or in really short time—as it happens, e.g., with streamingmodels—or with very large models for which the transformation algorithms become too slow to be of practical use if the complete population of a model is investigated.In this paper we introduce Approximate Model Transformations, which aim at producing target models that are accurate enough to provide meaningful and useful results in an efficient way, but without having to be fully correct. So to speak, this kind of transformations treats accuracy for execution performance. In particular, we redefine the traditional OCL operators used to query models (e.g.,allInstances, select, collect, etc.) by adopting sampling techniques and analysethe accuracy of approximate model transformations results.
LK http://hdl.handle.net/10630/8185
UL http://hdl.handle.net/10630/8185
LA eng
NO Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.                 European Commission under the ICT Policy Support Programme (grant no. 317859). Research Project TIN2011-23795.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026