Polack, F, Yohannis, A, Hoyos Rodriguez, H and Kolovos, D (2019) Towards Efficient Comparison of Change-Based Models. Journal of Object Technology, 18 (2). pp. 1-20. ISSN 1660-1769

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Comparison of large models can be time-consuming since every element has to be visited, matched, and compared with its respective element in other models. This can result in bottlenecks in collaborative modelling environments, where identifying differences between two versions of a model is desirable. Reducing the comparison process to only the elements that have been modified since a previous known state (e.g., previous version) could significantly reduce the time required for large model comparison. This paper presents how change-based persistence can be used to localise the comparison of models so that only elements affected by recent changes are compared and to substantially reduce comparison and differencing time (up to 90% in some experiments) compared to state-based model comparison.

Item Type: Article
Additional Information: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Association Internationale pour les Technologies Objets at http://doi.org/10.5381/jot.2019.18.2.aN - please refer to any applicable terms of use of the publisher.
Uncontrolled Keywords: model comparison, change-based persistence, state-based, persistence, partial model
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Depositing User: Symplectic
Date Deposited: 01 May 2019 07:52
Last Modified: 06 Sep 2019 08:39
URI: https://eprints.keele.ac.uk/id/eprint/6248

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