• Automated code generation support for BI with MDA TALISMAN 

      García-Díaz, Vicente; Fernández-Fernández, Héctor; Palacios-González, Elías; Pelayo García-Bustelo, B. Cristina; Sanjuán Martínez, Óscar; Cueva Lovelle, Juan Manuel (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2009)
      Model Driven Engineering (MDE) is gaining ever more strength due to the fact that with MDE the software development can be much more productive and this is the way to go closer to real software industrialization. With ...
    • Gade4all: Developing Multi-platform Videogames based on Domain Specific Languages and Model Driven Engineering 

      Nuñez-Valdez, Edward Rolando; Sanjuan, Oscar; Pelayo García-Bustelo, B. Cristina; Cueva-Lovelle, Juan Manuel; Infante Hernandez, Guillermo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2013)
      The development of applications for mobile devices is a constantly growing market which and more and more enterprises support the development of applications for this kind of devices. In that sense, videogames for mobile ...
    • General purpose MDE tools 

      Palacios-González, Elías; Fernández-Fernández, Héctor; García-Díaz, Vicente; Pelayo García-Bustelo, B. Cristina; Cueva Lovelle, Juan Manuel; Sanjuán Martínez, Óscar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2008)
      MDE paradigm promises to release developers from writing code. The basis of this paradigm consists in working at such a level of abstraction that will make it easyer for analysts to detail the project to be undertaken. ...
    • Migrating C/C++ Software to Mobile Platforms in the ADM Context 

      Martinez, Liliana; Pereira, Claudia; Favre, Liliana (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2017)
      Software technology is constantly evolving and therefore the development of applications requires adapting software components and applications in order to be aligned to new paradigms such as Pervasive Computing, Cloud ...
    • Modeling and Comparison Study of Modules in Open Source LMS Platforms with Cmapstool 

      Montenegro-Marin, Carlos Enrique; Cueva-Lovelle, Juan Manuel; Sanjuan, Oscar; Gaona-García, Paulo Alonso (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2010)
      This work is part of a first phase of the project “DOMAIN SPECIFIC MODELING FOR THE LEARNING OBJECTS BUILD PLATFORM-INDEPENDENT " and seeks to make a comparison between Open Source LMS to get a first approximation of common ...
    • Prototipos de lenguaje de dominio específico para consulta de configuraciones de dispositivos en redes como estándar basado en ingeniería dirigida por modelos 

      Montenegro Marin, Franklin Guillermo; Angarita Casas, Karen Eliana ; Garzón Triana, Daniel Felipe; Montenegro-Marin, Carlos Enrique; Gaona-García, Paulo Alonso (RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 04/2020)
      El establecimiento de redes requiere del conocimiento de las configuraciones necesarias de los dispositivos de redes pertenecientes a ellas. La búsqueda de estas configuraciones resulta ser una tarea tediosa y repetitiva ...
    • Rapid modeling of human-defined AI behavior patterns in games 

      Posada Trobo, Ismael; García Díaz, Vicente; Pascual Espada, Jordán; González-Crespo, Rubén ; Moreno-Ger, Pablo (Journal of Ambient Intelligence and Humanized Computing, 07/2019)
      The creation of computer and videogames is a challenging and multidisciplinary endeavor, requiring different approaches to integrate different disciplines while keeping relatively low development costs. In this context, ...
    • Towards a Standard-based Domain-specific Platform to Solve Machine Learning-based Problems 

      Cueva-Lovelle, Juan Manuel; García-Díaz, Vicente; Pelayo García-Bustelo, B. Cristina; Pascual-Espada, Jordán (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      Machine learning is one of the most important subfields of computer science and can be used to solve a variety of interesting artificial intelligence problems. There are different languages, framework and tools to define ...