[HTML][HTML] Machine learning for requirements engineering (ML4RE): A systematic literature review complemented by practitioners' voices from Stack Overflow
Context: The research of machine learning for requirements engineering (ML4RE) has
attracted more and more attention from researchers and practitioners. Although pioneering …
attracted more and more attention from researchers and practitioners. Although pioneering …
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations
This paper evaluates No-Code AutoML as a solution for challenges in AI product
prototyping, characterized by unpredictability and inaccessibility to non-experts, and …
prototyping, characterized by unpredictability and inaccessibility to non-experts, and …
MLOps critical success factors-A systematic literature review
Y Mehmood, N Sabahat, MA Ijaz - VFAST Transactions on Software …, 2024 - vfast.org
MLOps encompasses a collection of practices integrating machine learning into operational
activities, a recent addition to the diverse array of machine learning process models. The …
activities, a recent addition to the diverse array of machine learning process models. The …
[PDF][PDF] Machine Learning Applications in Global Software Development: Enhancing Managerial Activities and Information Security
K Vassakis - researchgate.net
Machine learning (ML) has emerged as a transformative force in global software
development, offering profound enhancements to managerial activities and bolstering …
development, offering profound enhancements to managerial activities and bolstering …