Atila: A UIDPs-based educational application generator for mobile devices

Cortes-Camarillo, Cesar Augusto; Rosales-Morales, Viviana Yarel; Sánchez-Morales, Laura Nely; Alor-Hernández, Giner; Rodríguez-Mazahua, Lisbeth

doi:10.1109/conielecomp.2017.7891810

Cited by 5 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Software developers, especially NSDs, need guidance to refer to during the development stage. Although they may be proficient in adapting FRs to the latest technology and deciding the basic features for the application, they sometimes fail to recognize the application quality that needs to be applied [16]. NFR is a tacit knowledge that users find difficult to express, particularly during the elicitation process.…”

Section: And Communication Technology (Ict) Provides New Methods Of T...mentioning

confidence: 99%

Checklist Approach for the Development of Educational Applications by Novice Software Developers

et al. 2023

View full text Add to dashboard Cite

Innovation and challenges are significant factors that lead to the improvement in technology involving various sectors, including the educational field. New methods and techniques have been introduced in teaching and learning among learners and educators. Modern technology generates an effective learning process that increases the students' interest and understanding of learning activities. Hence, software engineers need to develop high-quality educational applications that include the required elements such as learning materials and types of assessments. In addition, it should align with stipulated guidelines, timelines, budgets, and policies. Adaptation of a checklist approach in developing educational software can improve the quality of the software significantly. The checklist approach appears to be more effective for developers, especially novices with limited knowledge in relevant evidence-based principles. This study investigates the checklist approach for novice software developers in developing educational applications. A survey was employed to gather data from a group of respondents. This study used two types of sampling methods which were purposive sampling and Yamane formula. It shows that 89.19% of the respondents had understood and benefited from the provided checklist.

show abstract

Section: And Communication Technology (Ict) Provides New Methods Of T...mentioning

confidence: 99%

Checklist Approach for the Development of Educational Applications by Novice Software Developers

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Cortes-Camarillo et al [3] presentaron Edugene, una herramienta enfocada en crear contenido educativo parar tres tipos de aplicaciones como MOOC (Massive Online Open Courses), blog o wiki. Desde una perspectiva diferente, en Cortes-Camarillo et al [4] presentaron Atila, un generador de aplicaciones educativas basado en UIDPs. La característica principal de Atila es generar aplicaciones rápidas; además, establece un lenguaje nativo para mejorar el desempeño de las aplicaciones, la compatibilidad y generar código a partir de un archivo XML.…”

Section: Herramientas Para La Generación De Aplicaciones O Desarrollo De Softwareunclassified

“…Es necesario mencionar que esta investigación está basada en el proceso de generación de software descrito por Cortes-Camarillo et al [3], Cortes-Camarillo et al [4], Sánchez-Morales et al [5] y Sánchez-Morales et al [7], el cual consta de tres etapas principales: análisis de la imagen, configuración y generación de código. De manera particular, en esta investigación se realizaron cambios en la etapa de análisis de la imagen.…”

Section: Prototipounclassified

“…Este trabajo es una extensión de investigaciones previas que se presentan en Cortes-Camarillo et al [3], Cortes-Camarillo et al [4], Sánchez-Morales et al [5] y Sánchez-Morales et al [7] cuyas pruebas y resultados son un margen de referencia para mejorar los algoritmos de identificación de UIDPs en imágenes generadas a mano alzada.…”

Section: Conclusiones Y Trabajo a Futurounclassified

See 1 more Smart Citation

Proceso de desarrollo de aplicaciones para el dominio social media usando técnicas de Deep Learning

Morales¹,

Morales²,

Alor-Hernández³

et al. 2019

RCS

View full text Add to dashboard Cite

Resumen. Los avances del Deep Learning, son cada vez más notorios en el desarrollo de software. Sin embargo, a pesar de tener un gran avance aún no se explotan las técnicas de Deep Learning para los generadores automáticos de software, con atención especial en el desarrollo de aplicaciones Social Media. Por lo tanto, se propone un proceso de generación automática de aplicaciones basado en técnicas de Deep Learning, a partir de una imagen digital que representa una interfaz de usuario. Para lo cual se deben identificar UIDPs (User Interface Design Patterns) válidos para interfaces de aplicaciones de Social Media a través de técnicas de aprendizaje profundo. Las ventajas de este trabajo es el enriquecer las aplicaciones, reducir costos y mejorar el desempeño. Por último, se presenta un caso de estudio que muestra la implementación de las técnicas de Deep Learning en la identificación de UIDPs.Palabras clave: generación automática de software, procesamiento de imágenes, proceso de desarrollo, aprendizaje profundo, social media, UIDPs.

show abstract

“…In interface development, MUIP, as one of the most important design patterns, is a proven solution to a common recurring mobile interface development problem. Meaningful design information such as design problem, design goal and context, included in the MUIPs, can increase efficiency and quality of mobile interface development [6]- [8]. Since MUIPs are useful for developers to design high usability interface with short time and share their knowledge with others, they are increasingly used in mobile user interface development for definition of mobile user interface applications and frameworks [9]- [12].…”

Section: Introductionmentioning

confidence: 99%

Category Theory-Based Mobile User Interface Pattern Recommendation Method

et al. 2019

View full text Add to dashboard Cite

Although using the mobile user interface pattern (MUIP) can increase the efficiency and quality of mobile interface development, the existing pattern search methods have some limitations to provide appropriate patterns for solving a given design problem. In order to find the appropriate patterns, a category theory-based MUIP recommendation (CTR) method is proposed in this paper. First, the MUIP search is represented with a categorical structure so that the design problem can combine with the hierarchical structural MUIP repository closely. Then, to extract more accurate requirement information from the design problem, we present a question-based information extraction method that combines the general architecture for text engineering framework and category theory to extract the design goal, context, and level from the design problem. Finally, based on the categorical structure, we adopt a corresponding search strategy to find MUIPs according to the type of design problem. Some experiments are conducted to evaluate the performance of CTR. The experimental results show that the CTR can provide a high performance in terms of accuracy and ranking when compared with the existing methods. INDEX TERMS Mobile interface development, mobile user interface pattern, recommendation method, category theory, information extraction, categorical representation.

show abstract

Atila: A UIDPs-based educational application generator for mobile devices

Cited by 5 publications

References 14 publications

Checklist Approach for the Development of Educational Applications by Novice Software Developers

Checklist Approach for the Development of Educational Applications by Novice Software Developers

Proceso de desarrollo de aplicaciones para el dominio social media usando técnicas de Deep Learning

Category Theory-Based Mobile User Interface Pattern Recommendation Method

Contact Info

Product

Resources

About