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Generation of User Interfaces for Mobile Applications Using Neuronal Networks

  • Laura N. Sánchez-MoralesEmail author
  • Giner Alor-Hernández
  • Rosebet Miranda-Luna
  • Viviana Y. Rosales-Morales
  • Cesar A. Cortes-Camarillo
Chapter
Part of the Management and Industrial Engineering book series (MINEN)

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.

Keywords

Automatic software development Image processing Mobile applications UI design patterns 

Notes

Acknowledgements

The authors are grateful to the National Technological Institute of Mexico for supporting this work. This research paper was sponsored by the National Council of Science and Technology (CONACYT), as well as by the Public Education Secretary (SEP) through PRODEP.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Laura N. Sánchez-Morales
    • 1
    Email author
  • Giner Alor-Hernández
    • 1
  • Rosebet Miranda-Luna
    • 2
  • Viviana Y. Rosales-Morales
    • 1
  • Cesar A. Cortes-Camarillo
    • 1
  1. 1.División de Estudios de Posgrado e InvestigaciónTecnológico Nacional de México-Instituto Tecnológico de OrizabaOrizabaMexico
  2. 2.Instituto de Electrónica y MecatrónicaUniversidad Tecnológica de la MixtecaHuajuapan de LeónMexico

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