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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1998
DC FieldValueLanguage
dc.contributor.authorTran Nguyen Minh Quanen_US
dc.date.accessioned2025-03-26T04:35:12Z-
dc.date.available2025-03-26T04:35:12Z-
dc.date.issued2024-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1998-
dc.description.abstractIn the evolving landscape of software project management, the integration of data analytics has emerged as a critical factor influencing decision-making processes. This thesis investigates the role of data analytics in enhancing the efficacy and outcomes of software project management, utilizing a mixed-methods approach that combines quantitative and qualitative analyses. Through a comprehensive case study of the TensorFlow project, this research evaluates the application of descriptive and predictive models, sentiment analysis, and correlation studies to understand their impact on project decision-makingen_US
dc.language.isovien_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectData analyticsen_US
dc.subjectDecision-makingen_US
dc.subjectSoftware project managementen_US
dc.titleData analytics and decision-making in software project managementen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
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