Polack, FAC, Yohannis, A, Hoyos Rodriguez, H and Kolovos, D (2018) Towards Efficient Loading of Change-Based Models. Lecture Notes in Computer Science. ISSN 0302-9743

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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.

Item Type: Article
Additional Information: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Springer at https://doi.org/10.1007/978-3-319-92997-2_15 Please refer to any applicable terms of use of the publisher.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Natural Sciences > School of Computing and Maths
Depositing User: Symplectic
Date Deposited: 26 Apr 2018 09:27
Last Modified: 20 Jun 2018 10:53
URI: http://eprints.keele.ac.uk/id/eprint/4786

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