Software undergoes constant changes to support new requirements, address bugs,
enhance performance, and ensure maintainability. Thus, developers spend a great portion …

While lots of research has explored how to prevent maintainers from abandoning the open-
source projects that serve as our digital infras-tructure, there are very few insights on …

Because of the naturalness of software and the rapid evolution of Machine Learning (ML)
techniques, frequently repeated code change patterns (CPATs) occur often. They range from …

For software maintenance and evolution, insight into the codebase is crucial. One way to
enhance insight is the application of static analysis to extract and visualize program-specific …

Many developers relying on open-source digital infrastructure expect continuous
maintenance, but even the most critical packages can become unmaintained. Despite this …

Context: While working on software projects, developers often replace third-party libraries
(TPLs) with different ones offering similar functionalities. However, choosing a suitable TPL …

Software developers commonly use third-party software libraries to reduce implementation
efforts and mitigate errors in their source code while building high-quality and reliable …

In today's software industry, large-scale, multi-language codebases are the norm. This
brings substantial challenges in developing automated tools for code maintenance tasks …

API developers evolve software libraries to fix bugs, add new features, or refactor code, but
the evolution can introduce API-breaking changes (eg, API renaming). To benefit from such …

In this dissertation, I study how to support and improve the processes used by developers
facing open source dependency abandonment, thus promoting and enabling the …