The proceedings contain 7 papers. The topics discussed include: generation of large random models for benchmarking; approach to define highly scalable metamodels based on JSON; scalable model exploration through abstraction and fragmentation strategies; an efficient computation strategy for alllnstances; decentralized model persistence for distributed computing; parallel in-place model transformations with LinTra; and beyond information silos challenges in integrating industrial model-based data.

Proceedings of the 3rd Workshop on Scalable Model Driven Engineering part of the Software Technologies: Applications and Foundations (STAF 2015) federation of conferences

Di Ruscio, Davide;
2015-01-01

Abstract

The proceedings contain 7 papers. The topics discussed include: generation of large random models for benchmarking; approach to define highly scalable metamodels based on JSON; scalable model exploration through abstraction and fragmentation strategies; an efficient computation strategy for alllnstances; decentralized model persistence for distributed computing; parallel in-place model transformations with LinTra; and beyond information silos challenges in integrating industrial model-based data.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/121395
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