Transformers have gained popularity in the software engineering (SE) literature. These deep
learning models are usually pre-trained through a self-supervised objective, meant to …

Refactoring detection is crucial for a variety of applications and tasks:(i) empirical studies
about code evolution,(ii) tools for library API migration,(iii) code reviews and change …

Jupyter Notebooks have been widely adopted by many different communities, both in
science and industry. They support the creation of literate programming documents that …

Refactoring detection algorithms have been crucial to a variety of applications:(i) empirical
studies about the evolution of code, tests, and faults,(ii) tools for library API migration,(iii) …

In theory,(good) documentation is an invaluable asset to any software project, as it helps
stakeholders to use, understand, maintain, and evolve a system. In practice, however …

Software testing is an essential part of the software lifecycle and requires a substantial
amount of time and effort. It has been estimated that software developers spend close to …

Software vulnerabilities are weaknesses in source code that can be potentially exploited to
cause loss or harm. While researchers have been devising a number of methods to deal …

Defect localization aims to locate buggy program elements (eg, buggy files, methods or lines
of code) based on defect symptoms, eg, bug reports or program spectrum. However, when …

Continuous Integration (CI) is a set of software development practices that allow software
development teams to generate software builds more quickly and periodically (eg, daily or …

Jupyter Notebooks have been widely adopted by many different communities, both in
science and industry. They support the creation of literate programming documents that …