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dc.contributor.authorTomé, Paulopor
dc.contributor.authorCosta, Ernestopor
dc.contributor.authorAmaral, Luispor
dc.description.abstractExperience plays an important role in Information Systems data modelling activity. This role is justified by the fact that determining the correct and consistent information requirements is a difficult and a challenging task. Currently three types of data modelling techniques are widely used: entity-attribute-relationship, object-relationship and object-oriented. There is not a consensus about which one is the best. This article proposes a framework, supported by a software tool, that uses Case-Based-Reasoning (CBR) methodology to represent and use experience in the data modelling task. The proposed framework does not depend on the data modelling technique nor on the modelling tool.por
dc.description.sponsorship- (undefined)por
dc.subjectCase-Base Reasoningpor
dc.subjectData Modellingpor
dc.subjectInformation Systems Developmentpor
dc.subjectModelling processpor
dc.titleImproving data modelling through the use of case-based-reasoningpor
sdum.journalCEUR Workshop Proceedingspor
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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