Recent software advances have led to an expansion of the development and usage of
application programming interfaces (APIs). From millions of Android packages (APKs) …

Recommender systems are information filtering systems used in many online applications
like music and video broadcasting and e-commerce platforms. They are also increasingly …

Using Web APIs registered in service sharing communities for mobile APP development can
not only reduce development period and cost, but also fully reuse state-of-the-art research …

The industrial Internet of things (IIoT), a new computing mode in Industry 4.0, is deployed to
connect IoT devices and use communication technology to respond to control commands …

Automatic API recommendation has been studied for years. There are two orthogonal lines
of approaches for this task, ie, information-retrieval-based (IR-based) and neural-based …

When creating a new software system, or when evolving an existing one, developers do not
reinvent the wheel but, rather, seek available libraries that suit their purpose. In such a …

Nowadays, while modeling environments provide users with facilities to specify different
kinds of artifacts, eg, metamodels, models, and transformations, the possibility of learning …

Context–During the development of complex software systems, programmers look for
external resources to understand better how to use specific APIs and to get advice related to …

API recommendation in real-time is challenging for dynamic languages like Python. Many
existing API recommendation techniques are highly effective, but they mainly support static …

In recent years, recommender systems have gained an increasingly crucial role in software
engineering. Such systems allow developers to exploit a plethora of reusable artifacts …