Software project management using machine learning technique—A Review

MN Mahdi, MH Mohamed Zabil, AR Ahmad, R Ismail… - Applied Sciences, 2021 - mdpi.com
Project management planning and assessment are of great significance in project
performance activities. Without a realistic and logical plan, it isn't easy to handle project …

Software risk prediction: systematic literature review on machine learning techniques

MH Mahmud, MTH Nayan, DMNA Ashir, MA Kabir - Applied Sciences, 2022 - mdpi.com
The Software Development Life Cycle (SDLC) includes the phases used to develop
software. During the phases of the SDLC, unexpected risks might arise due to a lack of …

Assessing the risk of software development in agile methodologies using simulation

MI Lunesu, R Tonelli, L Marchesi, M Marchesi - IEEE Access, 2021 - ieeexplore.ieee.org
Agile methodologies aim to reduce software development risk using short iterations, feature-
driven development, continuous integration, testing automation, and other practices …

Knowledge graph based method for intelligent generation of emergency plans for water conservancy projects

L Wang, X Liu, Y Liu, H Li, J Liu, L Yang - IEEE Access, 2023 - ieeexplore.ieee.org
In response to the issues of poor content correlation and insufficient intelligent decision
support in emergency plans for water conservancy projects, a method for intelligent …

Emergency decision-making system for the large-scale infrastructure: A case study of the south-to-north water diversion project

H Li, F Li, J Zuo, J Sun, C Yuan, L Ji, Y Ma… - Journal of Infrastructure …, 2022 - ascelibrary.org
Large-scale infrastructure operates in a complex and uncertain environment. When an
unexpected safety accident occurs, efficient emergency decision-making plays a crucial role …

An adaptive information security system for 5g-enabled smart grid based on artificial neural network and case-based learning algorithms

C Jiang, H Xu, C Huang, Q Huang - Frontiers in computational …, 2022 - frontiersin.org
With the deployment of 5G Internet of Things (IoT) in the power system, the efficiency of
smart grid is improved by increasing two-way interactions in different layers in smart grid …

Emergency decision-making for middle route of south-to-north water diversion project using case-based reasoning and prospect theory

F Li, P Zhang, X Huang, J Sun, Q Li - Sustainability, 2022 - mdpi.com
The middle route of the South-to-North Water Diversion Project is one of the crucial
frameworks of China's water network and an essential channel for water resource allocation …

How machine learning changes Project Risk Management: A structured literature review and insights for organizational innovation

G Secundo, G Mele, G Passiante… - European Journal of …, 2023 - emerald.com
Purpose In the current economic scenario characterized by turbulence, innovation is a
requisite for company's growth. The innovation activities are implemented through the …

Prediction of Risk Percentage in Software Projects by Training Machine Learning Classifiers

P Gouthaman, S Sankaranarayanan - Computers & Electrical Engineering, 2021 - Elsevier
Recently, software project failures have been increasing due to lack of planning and budget
constraints. In this regard, identifying the suitable software model with the consideration of …

Towards Challenges Faced in Agile Risk Management Practices

SK Khurana, MA Wassay - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Agility is a necessity for enterprises as a result of their critical need to respond swiftly to a fast
changing environment.“Tomorrow problems are today's risk.” So, a problem that may result …