Oct 1, 2022 · In this paper, we present an automated method for evaluating the layout quality of UML class diagrams. We use machine learning based on features extracted from the class …

Aug 17, 2023 · To address these challenges, this research presents an automated proposed approach that utilizes Graph Neural Networks (GNNs), a machine learning algorithm, to …

To establish a ground truth for the layout quality of the diagram data set, all diagrams were manually labeled with their perceived layout quality. The features and labels were provided to …

To address these challenges, this research presents an automated proposed approach that utilizes Graph Neural Networks (GNNs), a machine learning algorithm, to generate class …

May 8, 2021 · To address these challenges, this research presents an automated proposed approach that utilizes Graph Neural Networks (GNNs), a machine learning algorithm, to …

Jan 1, 2024 · In this article, we present an overview and a study of approaches and tools designed to extract UML diagrams from textual requirements using NLP and computational …

How can classification of UML diagram images be automated? 1. What features in an image can be help classify an UML Class diagram, or exclude similar images? 2. How do Support Vector …

tageously can be used as predictors in a machine learning algorithm for con-densing reverse engineered class diagrams. By including a larger number of predictors which are relevant to …

We developed a new approach for automatically classifying class diagrams using the approach of Convolutional Neural Network under the domain of Deep Learning. We have applied the code …

Feb 6, 2020 · In this article we present a new method for evaluating the UML class diagram built by the student and compare them with that of the teacher, and also, we compare the …