In this paper, we present the first exploratory study of deprecated Python library APIs to
understand the status quo of API deprecation in the realm of Python libraries. Specifically …

More than ninety percent of published Jupyternotebooks do not state dependencies on
external packages. This makes them non-executable and thus hinders reproducibility of …

JavaScript libraries are widely used and evolve rapidly. When adapting client code to non-
backwards compatible changes in libraries, a major challenge is how to locate affected API …

The quality of method names is critical for the readability and maintainability of source code.
However, it is often challenging to construct concise method names. To alleviate this …

The application of machine learning (ML) libraries has tremendously increased in many
domains, including autonomous driving systems, medical, and critical industries …

Data scientists typically practice exploratory programming using computational notebooks,
to comprehend new data and extract insights. To do this they iteratively refine their code …

Modern software systems are complex, and they heavily rely on external libraries developed
by different teams and organizations. Such systems suffer from higher instability due to …

With the popularity of the Python language, com-munity developers create and maintain a lot
of third-party packages. APIs change frequently during the package evolving. Package …

Deep learning (DL) systems are complex component-based systems, which consist of core
program (code implementation and data), Python (language and interpreter), third-party …

While open-source software has enabled significant levels of reuse to speed up software
development, it has also given rise to the dreadful dependency hell that all software …