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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2016 Vol.4(1): 41-47 ISSN: 2301-3559
DOI: 10.7763/LNSE.2016.V4.221

UML Class Diagrams: Similarity Aspects and Matching

Mojeeb Al-Rhman Al-Khiaty and Moataz Ahmed
Abstract—Model matching is at the core of different model management operations such as model evolution, consolidation, and retrieval. An accurate identification of the similarity and differences between the elements of the matched models leads to an accurate model matching, which, in turn, leads to better model management. Software metrics are the software engineer means to quantify the similarity between the elements of the matched models. In this paper, we empirically validate the use of different metrics for capturing the similarity and the differences between the elements of two matched UML class diagrams. The paper empirically investigates the improvement of the similarity assessment of the class diagrams through the weight calibration of compound metrics. The results, reported based on two case studies, show the superiority of the compound metrics over the individual metrics.

Index Terms—Model matching, similarity metrics, reuse, weight calibration.

The authors are with King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia (e-mail: alkhiaty@kfupm.edu.sa, moataz@kfupm.edu.sa).


Cite: Mojeeb Al-Rhman Al-Khiaty and Moataz Ahmed, "UML Class Diagrams: Similarity Aspects and Matching," Lecture Notes on Software Engineering vol. 4, no. 1, pp. 41-47, 2016.

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