Towards Efficient Loading of Change-Based Models

Abstract

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.

Citation

(2018). Towards Efficient Loading of Change-Based Models. Lecture notes in computer science, https://doi.org/10.1007/978-3-319-92997-2_15

• 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
• DOI: https://doi.org/10.1007/978-3-319-92997-2_15
• Keywords: Model-based Change; Editing Histories; Ignore List; Superseded Events; Connected Data Objects (CDO)
• Publisher URL: https://doi.org/10.1007/978-3-319-92997-2_15