Large Language Models (LLMs) have significantly impacted numerous domains, including
Software Engineering (SE). Many recent publications have explored LLMs applied to …

Automated Program Repair (APR) attempts to patch software bugs and reduce manual
debugging efforts. Very recently, with the advances in Large Language Models (LLMs), an …

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 program repair has achieved good results in a recent series of papers. Yet,
we observe that the related work fails to repair some bugs because of a lack of knowledge …

Recently, ChatGPT has attracted great attention from the code analysis domain. Prior works
show that ChatGPT has the capabilities of processing foundational code analysis tasks …

Software Engineering (SE) is the systematic design, development, and maintenance of
software applications, underpinning the digital infrastructure of our modern mainworld. Very …

Patch correctness has been the focus of automated program repair (APR) in recent years
due to the propensity of APR tools to generate overfitting patches. Given a generated patch …

This study provides a comparative analysis of state-of-the-art large language models
(LLMs), analyzing how likely they generate vulnerabilities when writing simple C programs …

Most automated program repair methods rely on test cases to determine the correctness of
the generated patches. However, due to the incompleteness of available test suites, some …

Abstract Representation learning of source code is essential for applying machine learning
to software engineering tasks. Learning code representation from a multilingual source code …