Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review
Machine learning; Project management; Software design; Design and Development; Development performance; Literature reviews; Machine learning approaches; Machine learning techniques; Size metrics; Software project; Software project risks; Risk assessment
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-253082023-05-29T16:08:01Z Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review Mahdi M.N. M.h M.Z. Yusof A. Cheng L.K. Mohd Azmi M.S. Ahmad A.R. 56727803900 35185866500 35185858900 57188850203 36994351200 35589598800 Machine learning; Project management; Software design; Design and Development; Development performance; Literature reviews; Machine learning approaches; Machine learning techniques; Size metrics; Software project; Software project risks; Risk assessment Accurate assessment of software project risk is amongst the key activities in a software project. It directly impacts the time and cost of software projects. This paper presents a literature review of designing developing machine learning techniques for software project risk assessment. The results of the review have concluded prominent trends of machine learning approaches, size metrics, and study findings in the growth and advancement of machine learning in project management. Besides that, this research provides a deeper insight and an important framework for future work in the software project risk assessment. Furthermore, we demonstrated that the assessment of project risk using machine-learning is more efficient in reducing a project's fault. It also increases the probability for the software project's prediction and response, provides a further way to reduce the probability chances of failure effectively and to increase the software development performance ratio. � 2020 IEEE. Final 2023-05-29T08:08:01Z 2023-05-29T08:08:01Z 2020 Conference Paper 10.1109/ICIMU49871.2020.9243459 2-s2.0-85097651183 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097651183&doi=10.1109%2fICIMU49871.2020.9243459&partnerID=40&md5=c2ad510cb54f6955fa1f215b6608c7e6 https://irepository.uniten.edu.my/handle/123456789/25308 9243459 354 362 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Universiti Tenaga Nasional |
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| description |
Machine learning; Project management; Software design; Design and Development; Development performance; Literature reviews; Machine learning approaches; Machine learning techniques; Size metrics; Software project; Software project risks; Risk assessment |
| author2 |
56727803900 |
| author_facet |
56727803900 Mahdi M.N. M.h M.Z. Yusof A. Cheng L.K. Mohd Azmi M.S. Ahmad A.R. |
| format |
Conference Paper |
| author |
Mahdi M.N. M.h M.Z. Yusof A. Cheng L.K. Mohd Azmi M.S. Ahmad A.R. |
| spellingShingle |
Mahdi M.N. M.h M.Z. Yusof A. Cheng L.K. Mohd Azmi M.S. Ahmad A.R. Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review |
| author_sort |
Mahdi M.N. |
| title |
Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review |
| title_short |
Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review |
| title_full |
Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review |
| title_fullStr |
Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review |
| title_full_unstemmed |
Design and Development of Machine Learning Technique for Software Project Risk Assessment - A Review |
| title_sort |
design and development of machine learning technique for software project risk assessment - a review |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806428007928168448 |
| score |
13.214268 |