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Towards Efficient Loading of Change-Based Models

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This paper proposes and evaluates an efficient approach for loading models stored in a change-based format. The work builds on language-independent change-based persistence (CBP) of models conforming to object-oriented metamodelling architectures such as MOF and EMF, an approach which persists a model’s editing history rather than its current state. We evaluate the performance of the proposed loading approach and assess its impact on saving change-based models. Our results show that the proposed approach significantly improves loading times compared to the baseline CBP loading approach, and has a negligible impact on saving.

Acceptance Date Apr 10, 2018
Publication Date May 29, 2018
Journal Lecture Notes in Computer Science
Print ISSN 0302-9743
Publisher Springer Verlag
Series Title 14th European Conference on Modelling Foundations and Applications
Keywords Model-based Change; Editing Histories; Ignore List; Superseded Events; Connected Data Objects (CDO)
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