Due to the promising future of Automated Program Repair (APR), researchers have
proposed various APR techniques, including heuristic-based, template-based, and …

Automated program repair (APR) aims to fix software bugs automatically and plays a crucial
role in software development and maintenance. With the recent advances in deep learning …

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 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 …

In this paper, we propose DeepRL4FL, a deep learning fault localization (FL) approach that
locates the buggy code at the statement and method levels by treating FL as an image …

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

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 …

Software debugging is a time-consuming endeavor involving a series of steps, such as fault
localization and patch generation, each requiring thorough analysis and a deep …

Large Language Models (LLMs) have shown promise in multiple software engineering tasks
including code generation, code summarisation, test generation and code repair. Fault …

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