Despite being one of the most basic tasks in software development, debugging is still
performed in a mostly manual way, leading to high cost and low performance. To address …

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 …

For a large and evolving software system, the project team could receive a large number of
bug reports. Locating the source code files that need to be changed in order to fix the bugs is …

Locating bugs is important, difficult, and expensive, particularly for large-scale systems. To
address this, natural language information retrieval techniques are increasingly being used …

Automatic software debugging mainly includes two tasks of fault localization and automated
program repair. Compared with the traditional spectrum-based and mutation-based …

Automated Program Repair (APR) is one of the most recent advances in automated
debugging, and can directly fix buggy programs with minimal human intervention. Although …

Fault diagnosis approaches can generally be categorized into spectrum-based fault
localization (SFL, correlating failures with abstractions of program traces), and model-based …

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

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