Learning-based fault localization has been intensively studied recently. Prior studies have
shown that traditional Learning-to-Rank techniques can help precisely diagnose fault …

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 …

The performance of fault localization techniques is critical to their adoption in practice. This
paper reports on an empirical study of a wide range of fault localization techniques on real …

Debugging is a costly process that consumes much of developer time and energy. To help
reduce debugging effort, many studies have proposed various fault localization approaches …

Fault localization aims to support the debugging activities of human developers by
highlighting the program elements that are suspected to be responsible for the observed …

We present MUSE (MUtation-baSEd fault localization technique), a new fault localization
technique based on mutation analysis. A key idea of MUSE is to identify a faulty statement …

Fault localization is an inevitable step in software debugging. Spectrum-based fault
localization consists in computing a ranking metric on execution traces to identify faulty …

Debugging often takes much effort and resources. To help developers debug, numerous
information retrieval (IR)-based and spectrum-based bug localization techniques have been …

Manual debugging is notoriously tedious and time consuming. Therefore, various automated
fault localization techniques have been proposed to help with manual debugging. Among …

Defect localization aims to locate buggy program elements (eg, buggy files, methods or lines
of code) based on defect symptoms, eg, bug reports or program spectrum. However, when …