This is the first work to report on inferential testing at scale in industry. Specifically, it reports
the experience of automated testing of integrity systems at Meta. We built an internal tool …

In Continuous Integration, developers want to know how well they have tested their
changes. Unfortunately, in these cases, the use of mutation testing is suboptimal since …

Continuous integration (CI) is an established software quality assurance practice, and the
focus of much prior research with a diverse range of methods and populations. In this paper …

System-level test, or SLT, is an increasingly important process step in today's integrated
circuit testing flows. Broadly speaking, SLT aims at executing functional workloads in …

Today, we depend on numerous large-scale services for basic operations such as email.
These services, built on the basis of Continuous Integration/Continuous Deployment (CI/CD) …

The cost of software testing has become a burden for software companies in the era of rapid
release and continuous integration. Our industrial collaborator Ericsson also faces the …

Recent advances in deep learning promote the innovation of many intelligent systems and
applications such as autonomous driving and image recognition. Despite enormous efforts …

Test-suite reduction (TSR) speeds up regression testing by removing redundant tests from
the test suite, thus running fewer tests in the future builds. To decide whether to use TSR or …

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 …

Software products frequently evolve. When the production code undergoes major changes
such as feature addition or removal, the corresponding test code typically should co-evolve …