Deep learning (DL) systems can make our life much easier, and thus are gaining more and
more attention from both academia and industry. Meanwhile, bugs in DL systems can be …

Developers often run tests to check that their latest changes to a code repository did not
break any previously working functionality. Ideally, any new test failures would indicate …

Growth in Google's code size and feature churn rate has seen increased reliance on
continuous integration (CI) and testing to maintain quality. Even with enormous resources …

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 …

Hybrid fuzzing which combines fuzzing and concolic execution has become an advanced
technique for software vulnerability detection. Based on the observation that fuzzing and …

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 …

Regression testing is crucial but can be extremely costly. Regression Test Selection (RTS)
aims to reduce regression testing cost by only selecting and running the tests that may be …

Change-based testing is a key component of continuous integration at Facebook. However,
a large number of tests coupled with a high rate of changes committed to our monolithic …

Deep neural network (DNN) has become increasingly popular and DNN testing is very
critical to guarantee the correctness of DNN, ie, the accuracy of DNN in this work. However …

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 …