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 …

This work uses a big data set of UML class diagrams to utilize the power of machine learning for creating an automatic evaluator of layout quality, and for finding the particular features of …

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

In this paper we propose a CD classifier that determines if an image is a CD or not. The classifier operates by extracting relevant information about the image and processing that information …

Oct 27, 2022 · In this paper, we propose an approach that combines both machine learning and rules while accepting free-flowing text. Our approach uses natural language patterns and …

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 …

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 commonly used …

neered diagram, based on the values of the predictors. In the application phase, the algorithm is fed with a new reverse engineered diagram and then uses the previously learnt knowledge in …

May 8, 2021 · 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 …