Evaluate Database Management System Quality By Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methodolog

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dc.contributor.authorAl Nawaiseh, Asmaa Jameel
dc.contributor.authorAlbtoush, Audi
dc.contributor.authorAl-Msiedeen, Ra´fat
dc.contributor.authorAl Nawaiseh, Sabah Jamil
dc.coverage.issue2cs
dc.coverage.volume28cs
dc.date.accessioned2023-01-13T06:21:07Z
dc.date.available2023-01-13T06:21:07Z
dc.date.issued2022-12-20cs
dc.description.abstractAny organization that intends to use component-based software development, like outsourcing software, must first evaluate existing components against system requirements to find the best fit among many alternatives. As a result, there should be a mechanism to help with decision-making. Our proposed methodology tries to select the best alternative among available components, using the best decision-making approach. As an integrated method for order preference, the methodology in this paper uses two well-known criterion decision-making procedures, namely Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW). By analyzing and selecting the optimal solution among a variety of Out Sourcing (OS) modules, the new model design makes the decision-making process easier. We evaluated two software attributes and predicted which was more effective. In this case, the advantage of utilizing AHP is that it allows the developer to evaluate the structure of the OS selection problem and calculate weights for the chosen criteria. After that, the SAW technique is used to calculate the alternatives ratings for OS components. The integration strategy used in our model and the resulting preference indication, which is produced as an explicit numeric value.en
dc.formattextcs
dc.format.extent67-75cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2022 vol. 28, č. 2, s. 67-75. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2022.2.067en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3816
dc.identifier.urihttp://hdl.handle.net/11012/208750
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/202cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectOutsourced Softwareen
dc.subjectSAWen
dc.subjectAHPen
dc.subjectUsabilityen
dc.subjectMCDMen
dc.subjectComponenten
dc.subjectAttributesen
dc.subjectDatabaseen
dc.titleEvaluate Database Management System Quality By Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methodologen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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Vol. 28, No. 2