Systematic literature review on application of learning-based approaches in continuous integration
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 …
in specific phases. The rise of continuous practices in software projects emphasizes …
Improving the prediction of continuous integration build failures using deep learning
Continuous Integration (CI) aims at supporting developers in integrating code changes
constantly and quickly through an automated build process. However, the build process is …
constantly and quickly through an automated build process. However, the build process is …
Which builds are really safe to skip? Maximizing failure observation for build selection in continuous integration
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 …
Unfortunately, it is also an expensive practice. Google and Mozilla estimate their expenses …
Predicting continuous integration build failures using evolutionary search
Abstract Context: Continuous Integration (CI) is a common practice in modern software
development and it is increasingly adopted in the open-source as well as the software …
development and it is increasingly adopted in the open-source as well as the software …
Hirebuild: An automatic approach to history-driven repair of build scripts
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 …
developers still need specialized knowledge and long time to maintain build scripts and …
HybridCISave: A Combined Build and Test Selection Approach in Continuous Integration
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 …
Unfortunately, it is also a high-cost practice—Google and Mozilla estimate their CI systems …
A cost-efficient approach to building in continuous integration
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 …
Unfortunately, it is also an expensive practice---Google and Mozilla estimate their CI …
Sok: Machine learning for continuous integration
Continuous Integration (CI) has become a well-established software development practice
for automatically and continuously integrating code changes during software development …
for automatically and continuously integrating code changes during software development …
Detecting Continuous Integration Skip Commits Using Multi-Objective Evolutionary Search
Continuous Integration (CI) consists of integrating the changes introduced by different
developers more frequently through the automation of build process. Nevertheless, the CI …
developers more frequently through the automation of build process. Nevertheless, the CI …
Buildfast: History-aware build outcome prediction for fast feedback and reduced cost in continuous integration
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 …
computing resources, and thus become a common barrier faced by software organizations …