Hugging Face (HF) has established itself as a crucial platform for the development and
sharing of machine learning (ML) models. This repository mining study, which delves into …

In this research paper, we present the results of our collaborative study with Gokind AB on
the integration of artificial intelligence as a service into an existing system. Initially, we …

Abstract Machine Learning (ML) experiment management tools support ML practitioners and
software engineers when building intelligent software systems. By managing large numbers …

The development and operation of critical software that contains machine learning (ML)
models requires diligence and established processes. Especially the training data used …

Context: Machine learning (ML)-enabled systems are being increasingly adopted by
companies aiming to enhance their products and operational processes. Objective: This …

The rise of machine learning (ML) and its embedding in systems has drastically changed the
engineering of software-intensive systems. Traditionally, software engineering focuses on …

In today's dynamic technological landscape, sustainability has emerged as a pivotal
concern, especially with respect to architecting Machine Learning enabled Systems (MLS) …

Abstract In recent years, Machine Learning (ML) components have been increasingly
integrated into the core systems of organizations. Engineering such systems presents …

Industrial digitalization has led to the introduction of autonomous cyber-physical production
systems, optimizing the production processes. Stakeholders, however, are becoming …

Machine Learning (ML)-enabled systems capture new frontiers of industrial use. The
development of such systems is becoming a priority course for many vendors due to the …