[PDF][PDF] Mitigating Noise in Quantum Software Testing Using Machine Learning
Quantum Computing (QC) promises computational speedup over classic computing for
solving complex problems. However, noise exists in current and near-term quantum …
solving complex problems. However, noise exists in current and near-term quantum …
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 …
A Proposed Model for Embedding Risk Proportion in Software Development Effort Estimation
RS Dewi, YS Dharmawan - Procedia Computer Science, 2024 - Elsevier
The risk of project implementation failure has always been a primary concern for software
development team managers. Previous studies have recommended that risk should be …
development team managers. Previous studies have recommended that risk should be …
[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 …