Context: Advancements in machine learning (ML) lead to a shift from the traditional view of
software development, where algorithms are hard-coded by humans, to ML systems …

Regression testing is an essential activity to assure that software code changes do not
adversely affect existing functionalities. With the wide adoption of Continuous Integration …

Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …

Background: Developing and maintaining large scale machine learning (ML) based
software systems in an industrial setting is challenging. There are no well-established …

The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …

Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in
industry. However, based on well over a dozen case studies, we have learned that …

When developers make changes to their code, they typically run regression tests to detect if
their recent changes (re) introduce any bugs. However, many tests are flaky, and their …

The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …

Continuous Integration (CI) significantly reduces integration problems, speeds up
development time, and shortens release time. However, it also introduces new challenges …

In Continuous Integration (CI), regression testing is constrained by the time between
commits. This demands for careful selection and/or prioritization of test cases within test …