Evaluating the layout quality of UML class diagrams using machine learning-Reference-Cited by-同舟云学术

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Evaluating the layout quality of UML class diagrams using machine learning

Published:2022-10 Issue: Volume:192 Page:111413
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Bergström Gustav,Hujainah Fadhl,Ho-Quang Truong,Jolak Rodi^ORCID,Rukmono Satrio Adi^ORCID,Nurwidyantoro Arif,Chaudron Michel R.V.^ORCID

Funder

VINNOVA

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference56 articles.

1. Designing and implementing a tool to transform source code to UML diagrams;Alsarraj;Period. Eng. Natural Sci.,2021

2. The evolution of software design practices over a decade: A long term study of practitioners.;Badreddin;J. Object Technol.,2021

3. Is automated grading of models effective?: assessing automated grading of class diagrams;Bian,2020

4. Automatic assessment of students’ software models using a simple heuristic and machine learning;Boubekeur,2020

5. Random forests;Breiman;Mach. Learn.,2001

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2. Formation of LMS Class Diagram;Information Systems Engineering and Management;2024

3. Classification for the Concrete Syntax of Graph-Like Modeling Languages;SN Computer Science;2023-02-02

4. Modeling 4.0: Conceptual Modeling in a Digital Era;Communications of the Association for Information Systems;2023

5. A methodology of automatic class diagrams generation from source code using Model-Driven Architecture and Machine Learning to achieve Energy Efficiency;E3S Web of Conferences;2023

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