DataMock

Título:

DataMock: an agile approach for building data models from user interface mockups

Autor:

Rivero, José Matías

Colaboradores:

; Grigera, Julián; Distante, Damiano; Montero, Francisco; Rossi, Gustavo Héctor

Temas:

DESARROLLO DE SOFTWARE DIRIGIDO POR MODELOS - MDDINGENIERÍA DE REQUERIMIENTOS

En:

Software & Systems Modeling, 18(1), pp. 663-690.

Resumen:

In modern software development, much time is devoted and much attention is paid to the activity of data modeling and the translation of data models into databases. This has motivated the proposal of different approaches and tools to support this activity, such as semiautomatic approaches that generate data models from requirements artifacts using text analysis and sets of heuristics, among other techniques. However, these approaches still suffer from important limitations, including the lack of support for requirements traceability, the poor support for detecting and solving conflicts in domain-specific requirements, and the considerable effort required for manually checking the generated models. This paper introduces DataMock, an Agile approach that enables the iterative building of data models from requirements specifications, while supporting traceability and allowing inconsistencies detection in data requirements and specifications. The paper also describes how the approach effectively allows improving traceability and reducing errors and effort to build data models in comparison with traditional, state-of-the-art, data modeling approaches.

URL/DOI:

https://doi.org/10.1007/s10270-017-0586-9

Palabras clave:

modelado de datos

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (2,9 MB)

Idioma:

Inglés

Publicación:

, 2019

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