Software fault localization, the act of identifying the locations of faults in a program, is widely
recognized to be one of the most tedious, time consuming, and expensive-yet equally critical …

This chapter describes traditional and intuitive fault localization techniques, including
program logging, assertions, breakpoints, and profiling. Many advanced fault localization …

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 …

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

Mutation-based fault localization (MBFL) is a recently proposed technique with the
advantage of high fault localization accuracy. However, such a mutation analysis based …

Fault localization is the activity to locate faults in programs. Spectrum-based fault localization
(SBFL) is a class of techniques for it. It contrasts the code coverage achieved by passed runs …

In automatic software fault localization techniques, both the coverage and the testing
outcomes of the provided test suite are considered to be essential information. The problem …

Fault localization (FL) techniques gather trace information as input data and analyze it to
identify the relationship between program statements and failures. Therefore, the input trace …

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 …

Fault localization (FL) analyzes the execution information of a test suite to pinpoint the root
cause of a failure. The class imbalance of a test suite, ie, the imbalanced class proportion …