Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/9505
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dc.contributor.authorNakashololo, Tonataen_US
dc.contributor.authorIyamu, Tikoen_US
dc.date.accessioned2023-10-13T13:44:15Z-
dc.date.available2023-10-13T13:44:15Z-
dc.date.issued2022-
dc.identifier.citationNakashololo, T. & Iyamu, T. 2022. Leveraging software quality attributes in NoSQL database systems. 5th International Conference on Information and Computer Technologies (ICICT), New York, NY, USA, 04-06 March. [https://doi.org/10.1109/ICICT55905.2022.00048]en_US
dc.identifier.isbn978166546960922-
dc.identifier.urihttp://hdl.handle.net/11189/9505-
dc.description.abstractThe increasing interest in Not Only Structured Query Language (NoSQL) database systems has pruned debates among technical and business personnel in many organisations, about its quality and value to their businesses. Also, existing work has been silent on how software engineers can gain more benefits from the diverse nature of NoSQL technologies, from software quality attributes perspective. Thus, the objectives of this study were to: (1) understand the factors that influence leveraging of software attributes to business activities; and (2) examine how software quality attributes can be leveraged with NoSQL database systems. In achieving the objectives, the qualitative methods were employed. The interpretivist approach was followed in the analysis of the data. Based on the analysis, seven factors were found to influences the quality attributes in the leveraging of the NoSQL database systems in organisations. Based on the interpretation of the findings, a leveraging model was proposed. The model is intended to provide a guide on how software quality attributes can be leveraged with NoSQL database systems in organisation. This includes to facilitate NoSQL technology selection.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectDatabaseen_US
dc.subjectNoSQLen_US
dc.subjectqualitative methodsen_US
dc.titleLeveraging software quality attributes in NoSQL database systemsen_US
dc.relation.conference5th International Conference on Information and Computer Technologiesen_US
dc.identifier.doihttps://doi.org/10.1109/ICICT55905.2022.00048-
dc.typeArticleen_US
Appears in Collections:FID - Conference Proceedings
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