Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/294
Title: | An Approach and a Tool for Merging a Set of Models in Pairwise Way | Authors: | Boubakir, Mohammed Chaoui, Allaoua |
Affiliations: | Faculty of Information and Communication Technology (ICT) Faculty of Information and Communication Technology (ICT) |
Keywords: | Model merging;Model comparison;Maximum weighted matching;Compare;Match;Merge | Issue Date: | 28-Jan-2021 | Journal: | Malaysian Journal of Computer Science | Volume: | 34 | Issue: | 1 | Abstract: | Model merging addresses the problem of combining information from a set of models into a single one. This task is considered to be an important step in various software engineering practices. When many (more than two) models need to be merged, the most practiced technique is to perform the merge in a pairwise way, without considering the order of merging. The problem with this technique is that the resulting quality is not guaranteed because it is influenced by such an order. In this paper, we propose a pairwise approach for model merging aiming to provide better results by taking into account the order of merging. This approach proposes to combine models in an iterative process until obtaining only one model. At each iteration, we first compare each pair of models in order to measure the similarity between them and to identify the correspondences between their component elements. This is performed using two heuristic-based operators respectively named compare and match. After that, we identify the most similar pairs of models and merge them using a proposed operator. We have implemented our approach as tool support called 3M and evaluated it on a set of case studies |
URI: | http://dspace.univ-constantine2.dz/handle/123456789/294 | DOI: | 10.22452/mjcs.vol34no1.2 |
Appears in Collections: | Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
An Approach-2021.pdf | 744.33 kB | Adobe PDF | View/Open |
Page view(s)
90
Last Week
3
3
Last month
6
6
checked on Feb 25, 2023
Download(s)
31
checked on Feb 25, 2023
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Built with DSpace-CRIS -
Extension maintained and optimized by
