Towards efficient loading of change-based models

Yohannis, Alfa; Rodriguez, Horacio Hoyos; Polack, Fiona; Kolovos, Dimitris

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

Yohannis, A., Rodriguez, H. H., Polack, F., & Kolovos, D. (2018). Towards efficient loading of change-based models. Lecture notes in computer science, 10890 LNCS, 235-250. https://doi.org/10.1007/978-3-319-92997-2_15

• Journal Article Type: Conference Paper
• Acceptance Date: Apr 9, 2018
• Online Publication Date: May 29, 2018
• Publication Date: May 29, 2018
• Deposit Date: Mar 17, 2023
• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Print ISSN: 0302-9743
• Electronic ISSN: 1611-3349
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 10890 LNCS
• Pages: 235-250
• ISBN: 9783319929965
• DOI: https://doi.org/10.1007/978-3-319-92997-2_15
• Public URL: https://hull-repository.worktribe.com/output/4241700
• Related Public URLs: https://eprints.keele.ac.uk/id/eprint/4786/