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 …

Continuous Integration (CI) aims at supporting developers in integrating code changes
constantly and quickly through an automated build process. However, the build process is …

Continuous integration (CI) is a widely used practice in modern software engineering.
Unfortunately, it is also an expensive practice---Google and Mozilla estimate their CI …

Advancements in software build tools such as Maven reduce build management effort, but
developers still need specialized knowledge and long time to maintain build scripts and …

Continuous integration (CI) is a widely used practice in modern software engineering.
Unfortunately, it is also an expensive practice. Google and Mozilla estimate their expenses …

Continuous Integration (CI) is a popular practice in modern software engineering.
Unfortunately, it is also a high-cost practice—Google and Mozilla estimate their CI systems …

Long build times in continuous integration (CI) can greatly increase the cost in human and
computing resources, and thus become a common barrier faced by software organizations …

Compute resources that enable Continuous Integration (CI, ie, the automatic build and test
cycle applied to the change sets that development teams produce) are a shared commodity …

Continuous integration at scale is costly but essential to software development. Various test
optimization techniques including test selection and prioritization aim to reduce the cost …

To ensure the quality of software systems, software engineers can make use of a variety of
quality assurance approaches, for example, software testing, modern code review …