Evaluating the layout quality of UML class diagrams using machine learning
Journal article, 2022

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Quality of layout

Machine learning

Quality of UML class diagrams

Author

Gustav Bergström

University of Gothenburg

Fadhl Mohammad Omar Hujainah

Volvo Cars

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Truong Ho-Quang

Volvo Cars

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Rodi Jolak

University of Gothenburg

Volvo Cars

Satrio Adi Rukmono

Institut Teknologi Bandung

Eindhoven University of Technology

Arif Nurwidyantoro

Monash University

Michel Chaudron

Eindhoven University of Technology

University of Gothenburg

Published in

Journal of Systems and Software

0164-1212 (ISSN)

Vol. 192 art. no 111413

Categorizing

Subject Categories (SSIF 2011)

Production Engineering, Human Work Science and Ergonomics

Other Computer and Information Science

Reliability and Maintenance

Software Engineering

Information Science

Identifiers

DOI

10.1016/j.jss.2022.111413

Related datasets

Replication Package for "Evaluating the layout quality of UML class diagrams using machine learning" [dataset]

DOI: 10.5281/zenodo.6645684

More information

Latest update

9/21/2023