000			02176naa a2200277 a 4500
003			AR-LpUFIB
005			20250311170452.0
008			230201s2019 xx o 000 0 eng d
024	8		_aDIF-M7758 _b7977 _zDIF007087
040			_aAR-LpUFIB _bspa _cAR-LpUFIB
100	1		_aRivero, José Matías
245	1	0	_aDataMock : _ban agile approach for building data models from user interface mockups
300			_a1 archivo (2,9 MB)
500			_aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520			_aIn 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.
534			_aSoftware & Systems Modeling, 18(1), pp. 663-690.
650		4	_aDESARROLLO DE SOFTWARE DIRIGIDO POR MODELOS - MDD
650		4	_aINGENIERÍA DE REQUERIMIENTOS
653			_amodelado de datos
700	1		_aGrigera, Julián
700	1		_aDistante, Damiano
700	1		_aMontero, Francisco
700	1		_aRossi, Gustavo Héctor
856	4	0	_uhttps://doi.org/10.1007/s10270-017-0586-9
942			_cCP
999			_c56863 _d56863