Automated fault localization has been extensively studied to improve the effectiveness of
software debugging. Existing automated fault localization methods neglect the guidance of …

Automated software fault localization has become one of the hot spots on which researchers
have focused in recent years. Existing studies have shown that learning-based techniques …

Context Automatic software fault localization serves as a significant purpose in helping
developers solve bugs efficiently. Existing approaches for software fault localization can be …

Fault localization is essential for solving the issue of software faults. Aiming at improving
fault localization, this paper proposes a deep learning-based fault localization with …

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

The goal of software fault localization, a crucial activity in software development, is to locate
the flaws in a program's source code. Program analysis and statistical approaches, which …

Fault localization (FL) is an essential phase in software debugging and is used to detect the
possible faulty location. Nowadays, deep learning technique has a great advantage to …

Software fault localization, which is an important software quality assurance technology,
provides the location of the faults in software to improve the efficiency of debugging and …

Numerous Deep Learning (DL)-based fault localization (FL) methods are developed with the
aim of leveraging the code coverage matrix and failure vector to identify the connection …

Considering the importance of software systems in human life, their quality assurance is very
important. Fault localization is one of the software testing steps, it tries to find the exact …