Context Continuous integration (CI) is a software engineering technique that proclaims
frequent activities to assure the software product health. Researchers and practitioners …

Tests that fail inconsistently, without changes to the code under test, are described as flaky.
Flaky tests do not give a clear indication of the presence of software bugs and thus limit the …

Machine learning (ML) and deep learning (DL) analyze raw data to extract valuable insights
in specific phases. The rise of continuous practices in software projects emphasizes …

Besides a git-based version control system, GitHub integrates several social coding
features. Particularly, GitHub users can star a repository, presumably to manifest interest or …

GitHub Actions was introduced in 2019 and constitutes an integrated alternative to CI/CD
services for GitHub repositories. The deep integration with GitHub allows repositories to …

Continuous integration (CI) systems automate the compilation, building, and testing of
software. Despite CI being a widely used activity in software engineering, we do not know …

Open source is experiencing a renaissance period, due to the appearance of modern
platforms and workflows for develo** and maintaining public code. As a result, developers …

Automatic static analysis tools (ASATs) are instruments that support code quality
assessment by automatically detecting defects and design issues. Despite their popularity …

Regression testing is increasingly important with the wide use of continuous integration. A
desirable requirement for regression testing is that a test failure reliably indicates a problem …

Continuous Integration (CI) has become a disruptive innovation in software development:
with proper tool support and adoption, positive effects have been demonstrated for pull …