Since 2009, the deep learning revolution, which was triggered by the introduction of
ImageNet, has stimulated the synergy between Software Engineering (SE) and Machine …

Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

Data is the fuel to models, and it is still applicable in fault localization (FL). Many existing
elaborate FL techniques take the code coverage matrix and failure vector as inputs …

Trace data is critical for fault localization (FL) to analyze suspicious statements potentially
responsible for a failure. However, existing trace representation meets its bottleneck mainly …

Fault localization aims at developing an effective methodology identifying suspicious
statements potentially responsible for program failures. The spectrum-based fault …

Numerous fault localization techniques identify suspicious statements potentially
responsible for program failures by discovering the statistical correlation between test results …

As service-oriented computing systems become more buoyant and complex, the occurrence
of faults dramatically increases. Fault prediction plays a crucial role in the service-oriented …

A test suite is indispensable for conducting effective fault localization, and has two classes of
tests: passing tests and failing tests. However, in practice, passing tests heavily outnumber …

It is undoubtedly that test suites are crucial for fault localization techniques. Through the
running of a single test case in the test suite, a fault localization technology is able to obtain …

Context: Fault localization (FL) is essentially a search over the space of program statements
to find suspicious entities that might have caused a program failure. However, the input data …