Larger Object Oriented (OO) software systems can benefit greatly from the use of software
design patterns. Because design pattern offers a well-structured and proven solution to …

In this study, a multivocal literature review identified 15 software-engineering design
patterns for machine learning applications. Findings suggest that there are opportunities to …

Abstract Systems that rely on Machine Learning (ML systems) have differing demands on
quality—known as non-functional requirements (NFRs)—from traditional systems. NFRs for …

Machine-learning (ML) software engineering design patterns encapsulate reusable
solutions to commonly occurring problems within the given contexts of ML systems and …

Zero Trust (ZT) has become a very hot approach for building secure systems, promoted by
industry and government as a new way to produce systems with a high degree of security …

To guide practitioners and researchers to design and research Machine Learning (ML)
system development processes, we conduct a preliminary literature review on ML system …

The Artificial intelligence (AI) affects almost every field of modern technologies. The Machine
learning is used as one of the most successful methods for developing AI. The Machine …

Recently, machine learning (ML) techniques have been introduced into various domains.
This study focuses on projects for the development of ML-based service systems in which …

The growing adoption of machine learning solutions requires advancements in applying
best practices to maintain artificial intelligence systems in production. Machine Learning …

In this study, we consider projects for the development of machine learning (ML) service
systems that apply ML techniques to enterprise functions, and propose a method of …