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 …

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

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 …

Identifying vulnerabilities in software code is crucial for ensuring the security of modern
systems. However, manual detection requires expert knowledge and is time-consuming …

Software defects are an inherent part of software development and maintenance. To
address these defects, Automated Program Repair (APR) has been developed to fix bugs …

This study compares state-of-the-art Large Language Models (LLMs) on their tendency to
generate vulnerabilities when writing C programs using a neutral zero-shot prompt. Tihanyi …

Abstract Large Language Models (LLMs) have emerged as a promising approach for
automated program repair, offering code comprehension and generation capabilities that …

Test-to-code traceability links (TCTLs) establish links between test artifacts and code
artifacts. These links enable developers and testers to quickly identify the specific pieces of …

This paper introduces DSrepair, a knowledge-enhanced program repair method designed to
repair the buggy code generated by LLMs in the data science domain. DSrepair uses …