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

The development and training of deep learning models have become increasingly costly
and complex. Consequently, software engineers are adopting pre-trained models (PTMs) for …

Already from the early days of testing, practitioners distinguish between unit tests and
integration tests as a strategy to locate defects. Unfortunately, the mining software …

In recent years, GitHub has become the largest code host in the world, with more than 5M
developers collaborating across 10M repositories. Numerous popular open source projects …

Deep learning (DL) frameworks have become the cornerstone of the rapidly developing DL
field. Through installation dependencies specified in the distribution metadata, numerous …

Mining Software Repositories (MSR) has opened up new pathways and rich sources of data
for research and practical purposes. This research discipline facilitates mining data from …

Deploying software packages and services into containers is a popular software
engineering practice that increases portability and reusability. Docker, the most popular …

The increasing popularity of Machine Learning (ML) is generating challenges also for
developers. The multitude of programming languages, libraries and available resources …

Machine learning, a branch of Artificial Intelligence, is now popular in software engineering
community and is successfully used for problems like bug prediction, and software …

Large-scale software repository mining typically requires substantial storage and
computational resources, and often involves a large number of calls to (rate-limited) APIs …