Towards efficient loading of change-based models

Yohannis, Alfa, Rodriguez, Horacio Hoyos, Polack, Fiona orcid.org/0000-0001-7954-6433 et al. (1 more author) (2018) Towards efficient loading of change-based models. In: Modelling Foundations and Applications - 14th European Conference, ECMFA 2018, Held as Part of STAF 2018, Proceedings. 14th European Conference on Modelling Foundations and Applications, ECMFA 2018 Held as Part of STAF 2018, 26-28 Jun 2018 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer , FRA , pp. 235-250.

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.

Metadata

Authors/Creators:	Yohannis, Alfa (ary506@york.ac.uk) Rodriguez, Horacio Hoyos (hhr502@york.ac.uk) Polack, Fiona https://orcid.org/0000-0001-7954-6433 Kolovos, Dimitris https://orcid.org/0000-0002-1724-6563
Copyright, Publisher and Additional Information:	© Springer International Publishing AG, part of Springer Nature 2018. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Dates:	Accepted: 9 April 2018 Published (online): 29 May 2018
Institution:	The University of York
Academic Units:	The University of York The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User:	Pure (York)
Date Deposited:	25 Jul 2018 10:50
Last Modified:	28 Jul 2023 00:17
Published Version:	https://doi.org/10.1007/978-3-319-92997-2_15
Status:	Published online
Publisher:	Springer
Series Name:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Refereed:	No
Identification Number:	https://doi.org/10.1007/978-3-319-92997-2_15
Related URLs:	http://www.scopus.com/inward/record.url?...

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Towards efficient loading of change-based models

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