[HTML][HTML] How artificial intelligence will transform project management in the age of digitization: a systematic literature review
ME Nenni, F De Felice, C De Luca… - Management Review …, 2024 - Springer
Among the causes of the low success rate of the projects (around 35% of the total) is the low
level of maturity of the technologies available for the management of the projects …
level of maturity of the technologies available for the management of the projects …
An efficient Bayesian network model (BNM) for software risk prediction in design phase development
T Khan, M Faisal - International Journal of Information Technology, 2023 - Springer
The primary purpose of a software risk assessment is to predict risks and vulnerabilities that
may exist in each phase of the software development life cycle (SDLC). Risk factors have a …
may exist in each phase of the software development life cycle (SDLC). Risk factors have a …
Software Risk Prediction at Requirement and Design Phase: An Ensemble Machine Learning Approach
Software development is a highly structured process that involves the creation and
maintenance of a particular system, ranging from simple applications to complex enterprise …
maintenance of a particular system, ranging from simple applications to complex enterprise …
[PDF][PDF] Insights of effectivity analysis of learning-based approaches towards software defect prediction.
D Rai, JA Prashant - International Journal of Electrical & …, 2024 - pdfs.semanticscholar.org
Software defect prediction is one of the essential sets of operation towards mitigating issues
of risk management in software development known to contribute towards enhancing the …
of risk management in software development known to contribute towards enhancing the …
Risks' Attribute Values Evaluation in Software Engineering by Monte Carlo Simulation
M Lyashkevych, V Lyashkevych… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
It is a good practice in the industry to carry out a risk assessment even before the stages of
software production because we can prevent the costs of both human and material …
software production because we can prevent the costs of both human and material …
Software Risk Prediction Through the Use of Machine Learning
RT Mahmood, IA Saleh - International Research Journal of …, 2023 - search.proquest.com
Software engineering and data science require strong programming skills. Software
engineering focuses more on construction, functionality, and features, while software risk …
engineering focuses more on construction, functionality, and features, while software risk …
[引用][C] SOFTWARE RISK PREDICTION AT REQUIREMENT AND DESIGN PHASE: AN ENSEMBLE MACHINE LEARNING APPROACH
A YIBELTAL - 2023