Generation of User Interfaces for Mobile Applications Using Neuronal Networks View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Laura N. Sánchez-Morales , Giner Alor-Hernández , Rosebet Miranda-Luna , Viviana Y. Rosales-Morales , Cesar A. Cortes-Camarillo

ABSTRACT

Nowadays, there are different approaches of software automatic generation such as model-driven architecture (MDA), feature-driven development (FDD), rapid application development (RAD), to mention but a few. However, the aforementioned approaches lack of the use of artificial intelligence techniques such as digital image processing, neuronal networks, and patterns recognition which have not been addressed. Due to this, new and novel approaches on mobile applications development process are needed by incorporating artificial intelligence techniques in order to propose agile, easy, and intuitive development through computational methods that involve neural networks, digital image processing, and pattern recognition techniques. The aim of this work is to present a software component for generating user interfaces for mobile applications by using pattern recognition, image processing, and neural networks techniques. The process of generating user interfaces consists of three phases: (1) image analysis, (2) configuration, and (3) source code generation. The component identifies the elements of an image generated freehand, to transform its source code equivalent. Finally, we present a case study as proof of concept to show the functionality of the component described throughout this chapter. More... »

PAGES

211-231

Book

TITLE

New Perspectives on Applied Industrial Tools and Techniques

ISBN

978-3-319-56870-6
978-3-319-56871-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-56871-3_11

DOI

http://dx.doi.org/10.1007/978-3-319-56871-3_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1086062680


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