Show simple item record 2020-10-16T14:13:55Z 2020-10-16T14:13:55Z
dc.title DataMock: An Agile Approach for Building Data Models from User Interface Mockups en
dc.type Artículo es
dcterms.abstract 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. en
dcterms.extent 663-690 es
dcterms.issued 2019-09
dcterms.language Inglés es
dcterms.license Attribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0) es
dcterms.subject Data modeling en
dcterms.subject Agile methods en
dcterms.subject Mockups en
dcterms.subject Annotations en
dcterms.subject Requirements engineering en
dcterms.subject Requirements traceability en
dcterms.subject Model-driven development en
cic.version info:eu-repo/semantics/publishedVersion es Rivero, José Matías es Grigera, Julián es Distante, Damiano es Montero, Francisco es Rossi, Gustavo Héctor es
cic.lugarDesarrollo Laboratorio de Investigación y Formación en Informática Avanzada es
dcterms.subject.materia Ciencias de la Computación e Información es
dcterms.identifier.other doi:10.1007/s10270-017-0586-9 es
dcterms.isPartOf.issue vol. 18 es
dcterms.isPartOf.series Software and Systems Modeling es
cic.isPeerReviewed true es
cic.isFulltext true es
cic.institucionOrigen Laboratorio de Investigación y Formación en Informática Avanzada (LIFIA) es


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