Evolutionary Database Design: Enhancing Data Abstraction Through Database Modularization To Achieve Graceful Schema Evolution

dc.creatorGuedes
dc.creatorGustavo Bartz; Baioco
dc.creatorGisele Busichia; de Oliveira Moraes
dc.creatorRegina Lucia
dc.date2016
dc.date2017-11-13T13:56:12Z
dc.date2017-11-13T13:56:12Z
dc.date.accessioned2018-03-29T06:09:39Z
dc.date.available2018-03-29T06:09:39Z
dc.identifier978-3-319-44403-1; 978-3-319-44402-4
dc.identifierDatabase And Expert Systems Applications, Dexa 2016, Pt I . Springer Int Publishing Ag, v. 9827, p. 355 - 369, 2016.
dc.identifier0302-9743
dc.identifierWOS:000389020100022
dc.identifier10.1007/978-3-319-44403-1_22
dc.identifierhttps://link.springer.com/chapter/10.1007/978-3-319-44403-1_22
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/329828
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1366853
dc.descriptionSoftware systems are not immutable through time, especially in modern development methods such as agile ones. Therefore, a software system is constantly evolving. Besides coding, the database schema design also plays a major role. Changes in requirements will probably affect the database schema, which will have to be modified to accommodate them. In a software system, changes to the database schema are costly, due to application's perspective, where data semantics needs to be maintained. This paper presents a process to conduct database schema evolution by extending the database modularization to work in an evolutionary manner. The evolutionary database modularization process is executed during conceptual design, improving the abstraction capacity of generated data schema and results in loosely coupled database elements, organized in database modules. Finally, we present the process execution in an agile project.
dc.description9827
dc.description355
dc.description369
dc.description27th International Conference on Database and Expert Systems Applications (DEXA)
dc.descriptionSEP 05-08, 2016
dc.descriptionPorto, PORTUGAL
dc.description
dc.languageEnglish
dc.publisherSpringer Int Publishing AG
dc.publisherCham
dc.relationDatabase and Expert Systems Applications, DEXA 2016, PT I
dc.rightsfechado
dc.sourceWOS
dc.subjectEvolutionary Database Design
dc.subjectSchema Evolution
dc.subjectDatabase Evolution
dc.subjectAgile Methods
dc.titleEvolutionary Database Design: Enhancing Data Abstraction Through Database Modularization To Achieve Graceful Schema Evolution
dc.typeActas de congresos


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