Deep learning (DL) Systems have been widely used in various domains. Similar to
traditional software, DL system evolution may also incur regression faults. To find the …

Regression test selection (RTS) speeds up regression testing by only re-running tests that
might be affected by code changes. Ideal RTS safely selects all affected tests and precisely …

Static analyses have problems modelling dynamic language features soundly while
retaining acceptable precision. The problem is well-understood in theory, but there is little …

Test-case prioritization (TCP) aims to detect regression bugs faster via reordering the tests
run. While TCP has been studied for over 20 years, it was almost always evaluated using …

Developers are increasingly using services such as Dependabot to automate dependency
updates. However, recent research has shown that developers perceive such services as …

Genetic Improvement (GI) uses search-based optimisation algorithms to automatically
improve software with respect to both functional and non-functional properties. Our previous …

Regression testing is an important part of the software development process but suffers from
the presence of flaky tests. Flaky tests are tests that can nondeterministically pass or fail …

Today's software failures have two dominating root causes: code bugs and
misconfigurations. To combat failure-inducing software changes, unified regression testing …

Regression testing---rerunning tests on each code version to detect newly-broken
functionality---is important and widely practiced. But, regression testing is costly due to the …

While CUDA has become a mainstream parallel computing platform and programming
model for general-purpose GPU computing, how to effectively and efficiently detect CUDA …