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

被引：2
|
作者：
Soto, Andres [1 ,2 ]
Mora, Hector [1 ,2 ,3 ]
Riascos, Jaime A. [1 ,4 ]
机构：
[1] Corp Univ Autonoma Narino, Pasto, Colombia
[2] SDAS Res Grp, Pasto, Colombia
[3] Univ CESMAG, Pasto, Colombia
[4] Inst Univ Envigado, Envigado, Colombia
来源：
SOFTWAREX | 2022年 / 17卷
关键词：
Synthetic dataset; Dataset generation; !text type='HTML']HTML[!/text; Bootstrap;
D O I：
10.1016/j.softx.2022.100985
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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. (C) 2022 The Authors. Published by Elsevier B.V.
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页数：8
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