A User Interface Stereotype to Build Web Portals

Costa, Sofia Larissa da; Neto, Valdemar Vicente Graciano; Oliveira, Juliano R. F.

doi:10.1109/laweb.2014.8

Cited by 12 publications

(2 citation statements)

References 11 publications

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“…En Sánchez-Morales et al [5] se propuso un proceso que consta de tres fases: análisis de imagen, configuración y generación de código fuente; el resultado dio una contribución para la ingeniera de software. Da-Cost, Neto y de-Oliveira [6] presentaron un estereotipo para MDD (Model-Driven Development). El estereotipo UI (User Interface) basado para portales Web, captura los procesos y las especificaciones de la UI.…”

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

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

Morales¹,

Morales²,

Alor-Hernández³

et al. 2019

RCS

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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.

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

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

show abstract

“…The main features of web 2.0 include enhanced user interactivity, collaborations along with more pervasive network connectivity and higher communication channels. Consequently, the user interfaces of these web applications are designed and implemented in a costly and erroneous manner [3]. It is estimated that development of an application demands 48% of the code to be applied on the user interfaces while 50% of the development time is spent on the embodiment of the user interfaces [4].…”

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confidence: 99%

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

et al. 2019

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User Interfaces (UI's) are highly important in this era of web and mobile applications. Therefore, an efficient and accurate development of UI's is desirable in early Software Development Life Cycle (SDLC) phases. To achieve this, Object Management Group (OMG) introduced Interaction Flow Modeling Language (IFML) standard in 2013. IFML provides the modeling of manifold UI's for different applications like mobile, web and desktop. Although IFML is based on Model Driven Engineering (MDE) principle, the development of user interface models from initial requirements is still complex and time consuming task. Particularly, it requires domain expertise to understand several IFML concepts like domain model, view container etc. for the proper modeling of user interfaces. Consequently, there is a strong need of an approach to automate the development of IFML models from initial plain text requirements. This article presents a novel framework to automatically generate IFML models from textual requirements by utilizing the features of Natural Language Processing (NLP). Particularly, a set of NLP rules are developed to extract important IFML elements like View Components, Events etc. from textual requirements. Furthermore, a comprehensive algorithm is developed for the systematic execution of NLP rules in order to generate both IFML Domain and Core models. As a part of research, a sophisticated T ext to IFML (T2IF) tool is developed. The feasibility of proposed framework is demonstrated through movie manager and online bookstore case studies. The evaluation results prove that the proposed framework is capable of generating IFML models from textual requirements with high accuracy.

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Extending Interaction Flow Modeling Language (IFML) for Android User Interface Components

Fatima

Anwar

Azam

et al. 2019

Communications in Computer and Information Science

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A User Interface Stereotype to Build Web Portals

Cited by 12 publications

References 11 publications

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

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

A Novel Framework to Automatically Generate IFML Models From Plain Text Requirements

Extending Interaction Flow Modeling Language (IFML) for Android User Interface Components

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