Web Generator: An open-source software for synthetic web-based user interface dataset generation

Recently, Machine Learning algorithms have been employed to automate several processes, including software development. However, this action demands large datasets for training these algorithms. To our knowledge, there is no tool for generating synthetic datasets that contain HTML objects (interface...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:SoftwareX 2022-01, Vol.17, p.100985, Article 100985
Hauptverfasser: Soto, Andrés, Mora, Héctor, Riascos, Jaime A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Recently, Machine Learning algorithms have been employed to automate several processes, including software development. However, this action demands large datasets for training these algorithms. To our knowledge, there is no tool for generating synthetic datasets that contain HTML objects (interfaces, codes, wireframe.) Thus, we present the Web Generator, a software designed to mainly provide web pages, designs, and content based on the Bootstrap frontend framework. The software delivers markup code, screenshots, and labels for web elements. We aim to generate enough material for training and exploring the Machine Learning approach for automatic web design and development with this software.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2022.100985