Context GitHub hosts an impressive number of high-quality OSS projects. However,
selecting “the right tool for the job” is a challenging task, because we do not have precise …

The application of machine learning (ML) algorithms to address problems related to model-
driven engineering (MDE) is currently hindered by the lack of curated datasets of software …

Abstract ROS, the Robot Operating System, offers a core set of software for operating robots
that can be extended by creating or using existing packages, making it possible to write …

Vulnerable dependencies are a known problem in today's free open-source software
ecosystems because FOSS libraries are highly interconnected, and developers do not …

Background: Open source software has an increasing importance in modern software
development. However, there is also a growing concern on the sustainability of such …

Online collaboration platforms such as GitHub have provided software developers with the
ability to easily reuse and share code between repositories. With clone-and-own and forking …

Docker allows for the packaging of applications and dependencies, and its instructions are
described in Dockerfiles. Nowadays, version pinning is recommended to avoid unexpected …

Context: In machine learning (ML) applications, assets include not only the ML models
themselves, but also the datasets, algorithms, and deployment tools that are essential in the …

Studies on the OSS communities have shown that financial supports are critical to OSS
developers and projects to maintain their progress and sustainability. However, there were …

The development of software projects entails significant implementation and collaboration
activities, typically supported by tools such as issue trackers, code review tools and Version …