Recent years have seen a rise in Neural Program Repair (NPR) systems in the software
engineering community, which adopt advanced deep learning techniques to automatically …

As bugs are inevitable and prevalent in real-world programs, many Automated Program
Repair (APR) techniques have been proposed to generate patches for them. However, due …

Security vulnerabilities detected via techniques like greybox fuzzing are often fixed with a
significant time lag. This increases the exposure of the software to vulnerabilities. Automated …

In this paper, we investigate the naturalness of semantic-preserving transformations and
their impacts on the evaluation of NPR. To achieve this, we conduct a two-stage human …

Despite decades of efforts put into avoiding or mitigating memory safety errors (which are
errors in handling memory in native programming languages such as C), recent surveys …

This report outlines the objectives, methodology, challenges, and results of the first
Automated Program Repair Competition held at the APR Workshop 2024. The competition …

Automated program repair (APR) has recently gained ground, with numerous research
efforts being conducted in the area that have been adopted in the industry. One notable …