Large language models such as Codex, have shown the capability to produce code for
many programming tasks. However, the success rate of existing models is low, especially for …

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 …

Automated Program Repair (APR) is very useful in hel** developers in the process of
software development and maintenance. Despite recent advances in deep learning (DL) …

Automatic program repair (APR) is crucial to reduce manual debugging efforts for
developers and improve software reliability. While conventional search-based techniques …

Debugging software failures is still a painful, time consuming, and expensive process. For
instance, recent studies showed that debugging activities often account for about 50% of the …

Automated program repair (APR) has great potential to reduce bug-fixing effort and many
approaches have been proposed in recent years. APRs are often treated as a search …

Automated Program Repair (APR) techniques have drawn wide attention from both
academia and industry. Meanwhile, one main limitation with the current state-of-the-art APR …

Due to the difficulty of repairing defect, many research efforts have been devoted into
automatic defect repair. Given a buggy program that fails some test cases, a typical …

This work is motivated by the pervasive use of method invocations in object-oriented (OO)
programs, and indeed their prevalence in patches of OO-program bugs. We propose a …

A notable class of techniques for automatic program repair is known as semantics-based.
Such techniques, eg, Angelix, infer semantic specifications via symbolic execution, and then …