Main Article Content
Reusing software has several benefits ranging from reducing cost and risk, accelerating development, and its primary purposes are improving software quality. In the early stage of software development, reusing existing software artifacts may increase the benefit of reusing software because it uses mature artifacts from previous artifacts. One of software artifacts is diagram, and in order to assist the reusing diagram is to find the level of similarity of diagrams. This paper proposes a method for measuring the similarity of the use case diagram using structural and semantic aspects. For structural similarity measurement, Graph Edit Distance is used by transforming each factor and use case into a graph, while for semantic similarity measurement, WordNet, WuPalmer,
and Levenshtein were used. The experimentation was conducted on ten datasets from various
projects. The results of the method were compared with the results of assessments from experts.
The measurement of agreement between experts and method was done by using Gwet’s AC1 and
Pearson correlation coefficient. Measurement results with Gwet’s AC1 diagram similarity are 0,60,
which were categorized as “moderate" agreement and the result of measurement with Pearson
is 0.506 which means there is a significant correlation between experts and methods. The result
showed that the proposed method can be used to find the similarity of the diagram, so finding and
reuse of the diagram as a software component can be optimized.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to Jurnal Lontar Komputer as publisher of the journal. Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, as well as translations. The reproduction of any part of this journal (printed or online) will be allowed only with a written permission from Jurnal Lontar Komputer. The Editorial Board of Jurnal Lontar Komputer make every effort to ensure that no wrong or misleading data, opinions or statements be published in the journal.
This work is licensed under a Creative Commons Attribution 4.0 International License.
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