Fault localization methods seek to identify faulty program statements based on the
information provided by the failing and passing test executions. Spectrum‐based methods …

Spectrum-based fault localization shortens the test-diagnose-repair cycle by reducing the
debugging effort. As a light-weight automated diagnosis technique it can easily be …

Spectrum-based fault localization (SFL) shortens the test–diagnose–repair cycle by
reducing the debugging effort. As a light-weight automated diagnosis technique it can easily …

Developing effective debugging strategies to guarantee the reliability of software is
important. By analyzing the debugging process used by experienced programmers, we have …

Localizing failure-inducing code is essential for software debugging. Manual fault
localization can be quite tedious, error-prone, and time-consuming. Therefore, a huge body …

Coverage-based fault localization techniques typically assign a suspiciousness rank to the
statements in a program following an analysis of the coverage of certain types of program …

Finding and fixing bugs are time-consuming activities in software development. Spectrum-
based fault localization aims to identify the faulty position in source code based on the …

Finding the root cause of a bug requires a significant effort from developers. Automated fault
localization techniques seek to reduce this cost by computing the suspiciousness scores (ie …

CONTEXT: Because of its simplicity and effectiveness, Spectrum-Based Fault Localization
(SBFL) has been one of the popular approaches towards fault localization. It utilizes the …

Locating faults in a program can be very time-consuming and arduous, and therefore, there
is an increased demand for automated techniques that can assist in the fault localization …