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Software Project Management Using Machine Learning Technique - A Review

Machine 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 management

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Main Authors: Hazil M.Z.M., Mahdi M.N., Mohd Azmi M.S., Cheng L.K., Yusof A., Ahmad A.R.
Other Authors: 35185866500
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-253252023-05-29T16:08:11Z Software Project Management Using Machine Learning Technique - A Review Hazil M.Z.M. Mahdi M.N. Mohd Azmi M.S. Cheng L.K. Yusof A. Ahmad A.R. 35185866500 56727803900 36994351200 57188850203 35185858900 35589598800 Machine 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 management Project 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. Final 2023-05-29T08:08:10Z 2023-05-29T08:08:10Z 2020 Conference Paper 10.1109/ICIMU49871.2020.9243543 2-s2.0-85097645806 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097645806&doi=10.1109%2fICIMU49871.2020.9243543&partnerID=40&md5=c51c257ae19a3313e13efdfe6e923c3e https://irepository.uniten.edu.my/handle/123456789/25325 9243543 363 370 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Machine 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 management
author2 35185866500
author_facet 35185866500
Hazil M.Z.M.
Mahdi M.N.
Mohd Azmi M.S.
Cheng L.K.
Yusof A.
Ahmad A.R.
format Conference Paper
author Hazil M.Z.M.
Mahdi M.N.
Mohd Azmi M.S.
Cheng L.K.
Yusof A.
Ahmad A.R.
spellingShingle Hazil M.Z.M.
Mahdi M.N.
Mohd Azmi M.S.
Cheng L.K.
Yusof A.
Ahmad A.R.
Software Project Management Using Machine Learning Technique - A Review
author_sort Hazil M.Z.M.
title Software Project Management Using Machine Learning Technique - A Review
title_short Software Project Management Using Machine Learning Technique - A Review
title_full Software Project Management Using Machine Learning Technique - A Review
title_fullStr Software Project Management Using Machine Learning Technique - A Review
title_full_unstemmed Software Project Management Using Machine Learning Technique - A Review
title_sort software project management using machine learning technique - a review
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806424303951937536
score 13.214268

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