Deep neural networks (DNNs) achieve state-of-the-art performance in many areas, including
computer vision, system configuration, and question-answering. However, DNNs are …

Background: Software Package Registries (SPRs) are an integral part of the software supply
chain. These collaborative platforms unite contributors, users, and code for streamlined …

Deep Neural Networks (DNNs) are being adopted as components in software systems.
Creating and specializing DNNs from scratch has grown increasingly difficult as state-of-the …

Many software applications incorporate open-source third-party packages distributed by
public package registries. Guaranteeing authorship along this supply chain is a challenge …

Software Bills of Materials (SBOMs) have emerged as tools to facilitate the management of
software dependencies, vulnerabilities, licenses, and the supply chain. While significant …

The rapid advancement of large language models (LLMs) has revolutionized artificial
intelligence, introducing unprecedented capabilities in natural language processing and …

The proliferation of pre-trained models (PTMs) and datasets has led to the emergence of
centralized model hubs like Hugging Face, which facilitate collaborative development and …

Context Many engineering organizations are reimplementing and extending deep neural
networks from the research community. We describe this process as deep learning model …

Due to the cost of develo** and training deep learning models from scratch, machine
learning engineers have begun to reuse pre-trained models (PTMs) and fine-tune them for …

The availability of vast amounts of publicly accessible data of source code and the advances
in modern language models, coupled with increasing computational resources, have led to …