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 …

Fault Localization (FL) aims to automatically localize buggy lines of code, a key first step in
many manual and automatic debugging tasks. Previous FL techniques assume the provision …

Automated Program Repair (APR) helps improve the efficiency of software development and
maintenance. Recent APR techniques use deep learning, particularly the encoder-decoder …

With the rapid development and large-scale popularity of program software, modern society
increasingly relies on software systems. However, the problems exposed by software have …

Neural machine translation (NMT) architectures have achieved promising results for
automatic program repair. Yet, they have the limitation of generating low-quality patches (eg …

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 …

Automated program repair (APR) aims to fix software bugs without manual debugging efforts
and plays a crucial role in software development and maintenance. Template-based APR …

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 …

Test-based automated program repair has been a prolific field of research in software
engineering in the last decade. Many approaches have indeed been proposed, which …