Continuous integration, at its core, includes a set of practices that aim to prevent and reduce
the cost of software integration issues by merging working software copies often. Regression …

In continuous integration development environments, software engineers frequently
integrate new or changed code with the mainline codebase. This can reduce the amount of …

There is a growing body of research indicating the potential of machine learning to tackle
complex software testing challenges. One such challenge pertains to continuous integration …

Regression test selection (RTS) and prioritization (RTP) techniques aim to reduce testing
efforts and developer feedback time after a change to the code base. Using various …

持续集成环境下的测试存在测试用例集变化大, 测试时间有限和快速反馈等需求,
传统的测试优化方法难以适用. 强化学习是机器学习的一个重要分支, 其本质是解决序贯决策 …

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 …

Continuous integration advocates to run the test suite of a project frequently, eg, for every
code change committed to a shared repository. This process imposes a high computational …

As software systems evolve and change over time, test suites used for checking the
correctness of software typically grow larger. Together with size, test suites tend to grow in …

Two heuristics namely diversity-based (DBTP) and history-based test prioritization (HBTP)
have been separately proposed in the literature. Yet, their combination has not been widely …

Testing in Continuous Integration (CI) involves test case prioritization, selection, and
execution at each cycle. Selecting the most promising test cases to detect bugs is hard if …