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Towards Efficient Comparison of Change-Based Models

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Abstract

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.

Citation

(2019). Towards Efficient Comparison of Change-Based Models. https://doi.org/10.5381/jot.2019.18.2.aN

Acceptance Date Apr 20, 2019
Publication Date Jul 1, 2019
Journal Journal of Object Technology
Print ISSN 1660-1769
Pages 1-20
DOI https://doi.org/10.5381/jot.2019.18.2.aN
Keywords model comparison, change-based persistence, state-based, persistence, partial model
Publisher URL http://doi.org/10.5381/jot.2019.18.2.aN

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