A novel framework for risk management of software projects by integrating a new COPRAS method under cloud model and machine learning algorithms

Project risk management which has been rarely considered, especially in software projects, is a crucial process to complete projects successfully. This paper aims to propose a novel project risk management framework both to evaluate the project risks and to predict the success or failure of software...

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Bibliographic Details
Published in:	Annals of operations research Vol. 338; no. 1; pp. 675 - 708
Main Authors:	Haghighi, Mohammad Hossein, Ashrafi, Maryam
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.07.2024 Springer Springer Nature B.V
Subjects:	Algorithms Business and Management Combinatorics Decision trees Evaluation Failure Feature recognition Machine learning Operations Research/Decision Theory Original Research Pattern recognition Project management Risk management Software Statistical analysis Success Technology application Theory of Computation Iran Complex Proportional Assessment (COPRAS) Machine Learning (ML) Cloud model Risk management Software projects
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
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