Towards a data warehouse testing framework

dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorElGamal, Neveen
dc.contributor.authorEl Bastawissy, Ali
dc.contributor.authorGalal-Edeen, Galal
dc.date.accessioned2020-01-29T10:46:21Z
dc.date.available2020-01-29T10:46:21Z
dc.date.issued2011
dc.descriptionMSA Google Scholaren_US
dc.description.abstractData warehouse (DW) testing is a very critical stage in the DW development because decisions are made based on the information resulting from the DW. So, testing the quality of the resulting information will support the trustworthiness of the DW system. A number of approaches were made to describe how the testing process should take place in the DW environment. In this paper we will present briefly these testing approaches, and then a proposed matrix that structures the DW testing routines will be used to evaluate and compare these approaches. Afterwards an analysis of the comparison matrix will highlight the weakness points that exist in the available DW testing approaches. Finally, we will point out the requirements towards achieving a homogeneous DW testing framework. In the end, we will conclude our worken_US
dc.description.sponsorshipIEEEen_US
dc.description.urihttps://www.scimagojr.com/journalsearch.php?q=21100199567&tip=sid&clean=0
dc.identifier.doihttps://doi.org/10.1109/ICTKE.2012.6152416
dc.identifier.isbn978-1-4577-2161-8
dc.identifier.otherhttps://doi.org/10.1109/ICTKE.2012.6152416
dc.identifier.urihttps://cutt.ly/QrTYbkd
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2011 Ninth International Conference on ICT and Knowledge Engineering;
dc.subjectOctober University for University for Data Warehouse Testingen_US
dc.subjectTestingen_US
dc.subjectData Warehouse Qualityen_US
dc.titleTowards a data warehouse testing frameworken_US
dc.typeBook chapteren_US

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