Towards efficient loading of change-based models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationModelling Foundations and Applications - 14th European Conference, ECMFA 2018, Held as Part of STAF 2018, Proceedings
PublisherSpringer
Pages235-250
Number of pages16
Volume10890 LNCS
ISBN (Electronic)978-3-319-92997-2
ISBN (Print)9783319929965
DOIs
Publication statusE-pub ahead of print - 29 May 2018
Event14th European Conference on Modelling Foundations and Applications, ECMFA 2018 Held as Part of STAF 2018 - Toulouse, France
Duration: 26 Jun 201828 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10890 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference14th European Conference on Modelling Foundations and Applications, ECMFA 2018 Held as Part of STAF 2018
Country/TerritoryFrance
CityToulouse
Period26/06/1828/06/18

Bibliographical note

© 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

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