Publication:
Software Project Management Using Machine Learning Technique - A Review

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dc.citedby4
dc.contributor.authorHazil M.Z.M.en_US
dc.contributor.authorMahdi M.N.en_US
dc.contributor.authorMohd Azmi M.S.en_US
dc.contributor.authorCheng L.K.en_US
dc.contributor.authorYusof A.en_US
dc.contributor.authorAhmad A.R.en_US
dc.contributor.authorid35185866500en_US
dc.contributor.authorid56727803900en_US
dc.contributor.authorid36994351200en_US
dc.contributor.authorid57188850203en_US
dc.contributor.authorid35185858900en_US
dc.contributor.authorid35589598800en_US
dc.date.accessioned2023-05-29T08:08:10Z
dc.date.available2023-05-29T08:08:10Z
dc.date.issued2020
dc.descriptionMachine learning; Risk assessment; Risk perception; Software design; Development performance; Machine learning techniques; Management analysis; Management planning; Project performance; Project risk assessment; Software project; Software project management; Project managementen_US
dc.description.abstractProject management planning assessment is of great significance in project performance activities. The creation of project management cannot be effectively handled without a practical and rational strategy. This paper offers a large-scale review analysis of articles based on machine learning and risk evaluation management for software projects. The reviews are presented and classified into two groups. The first group covers project management analysis and survey articles. The second group contains works on the steps and experimental criteria that are widely used in the management of machine learning projects. The paper provides a deeper insight and an important framework for future work in the project risk assessment, highlights the estimation of project risk using machine-learning is more efficient in reducing the project's fault and provides a further way to reduce the probability chances effectively and to increase the software development performance ratio. � 2020 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9243543
dc.identifier.doi10.1109/ICIMU49871.2020.9243543
dc.identifier.epage370
dc.identifier.scopus2-s2.0-85097645806
dc.identifier.spage363
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097645806&doi=10.1109%2fICIMU49871.2020.9243543&partnerID=40&md5=c51c257ae19a3313e13efdfe6e923c3e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25325
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2020 8th International Conference on Information Technology and Multimedia, ICIMU 2020
dc.titleSoftware Project Management Using Machine Learning Technique - A Reviewen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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