Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

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 …

Coverage-based fault localization has been extensively studied in the literature due to its
effectiveness and lightweightness for real-world systems. However, existing techniques …

A large body of research efforts have been dedicated to automated software debugging,
including both automated fault localization and program repair. However, existing fault …

Due to the complexity of software systems, bugs are inevitable. Software debugging is
tedious and time consuming. To help developers perform this crucial task, a number of …

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

In practice, a program may contain multiple bugs. The simultaneous presence of these bugs
may deteriorate the effectiveness of existing fault-localization techniques to locate program …

Industrial deployments of automated program repair (APR), eg, at Facebook and Bloomberg,
signal a new milestone for this exciting and potentially impactful technology. In these …

When using language models (LMs) to solve complex problems, humans might struggle to
understand the LM-generated solutions and repair the flawed ones. To assist humans in …

Abstract Spectrum Based Fault Localization (SBFL) is a statistical approach to identify faulty
code within a program given a program spectra (ie, records of program elements executed …