[HTML][HTML] Empirical analysis of tree-based classification models for customer churn prediction
Customer churn is a vital and reoccurring problem facing most business industries,
particularly the telecommunications industry. Considering the fierce competition among …
particularly the telecommunications industry. Considering the fierce competition among …
FEPP: Advancing Software Risk Prediction in Requirements Engineering Through Innovative Rule Extraction and Multi-Class Integration
M Binsawad, B Khan - IEEE Access, 2024 - ieeexplore.ieee.org
The increasing complexity of software projects makes it difficult to predict risks in software
requirements, which is a crucial and essential part of the Software Development Life Cycle …
requirements, which is a crucial and essential part of the Software Development Life Cycle …
[PDF][PDF] Comparing machine learning techniques for software requirements risk prediction
YP Vera, ÁF Del Carpio - Indonesian Journal of Electrical …, 2024 - researchgate.net
Software requirements are the most critical phase focused on documenting, eliciting, and
maintaining the stakeholders' requirements. Risk identification and analysis are preemptive …
maintaining the stakeholders' requirements. Risk identification and analysis are preemptive …
[PDF][PDF] Scientific African
FE Usman-Hamza, AO Balogun, SK Nasiru, LF Capretz… - mostwiedzy.pl
Customer churn is a vital and reoccurring problem facing most business industries,
particularly the telecommunications industry. Considering the fierce competition among …
particularly the telecommunications industry. Considering the fierce competition among …