Fault localization and repair are time-consuming and tedious. There is a significant and
growing need for automated techniques to support such tasks. Despite significant progress …

Finding a bug in the software is an expensive task, however, debugging is a crucial part of
the software development life cycle. Spectrum-Based Fault Localization (SBFL) algorithms …

Fault localization is important for software development and maintenance. Among existing
techniques, spectrum-based fault localization (SBFL) is effective to locate bugs based on the …

Fault localization is known to be one of the most time-consuming and difficult tasks in the
debugging process. Many fault localization techniques have been proposed to automate this …

Fault localization is known to be tedious and expensive. To help practitioners reduce the
needed effort, researchers have proposed many automated fault localization techniques …

Current metrics for assessing the adequacy of a test-suite plainly focus on the number of
components (be it lines, branches, paths) covered by the suite, but do not explicitly check …

Spectrum-based fault localization (SBFL) works well for single-fault programs but its
accuracy decays for increasing fault numbers. We present FLITSR (Fault Localization by …

The performance of software fault localization (SFL) is significant to software reliability and
the software debugging process. Test suite effectiveness is crucial in improving the …

In Spectrum-Based Fault Localization (SBFL), a suspiciousness score is assigned to each
code element based on test coverage and test outcomes. The scores are then used to rank …

Spectrum-Based Fault Localization (SBFL), in its basic form, uses only local information
about a program element's (such as a method's) coverage to predict its faultiness, and rarely …