In the past decade, research on test-suite-based automatic program repair has grown
significantly. Each year, new approaches and implementations are featured in major …

Defect prediction is one of the key challenges in software development and programming
language research for improving software quality and reliability. The problem in this area is …

Automatic program repair (APR) is crucial to improve software reliability. Recently, neural
machine translation (NMT) techniques have been used to automatically fix software bugs …

Automated generate-and-validate (GV) program repair techniques (APR) typically rely on
hard-coded rules, thus only fixing bugs following specific fix patterns. These rules require a …

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

We revisit the performance of template-based APR to build comprehensive knowledge
about the effectiveness of fix patterns, and to highlight the importance of complementary …

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

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 …

Patching is a common activity in software development. It is generally performed on a source
code base to address bugs or add new functionalities. In this context, given the recurrence of …

Fix pattern-based patch generation is a promising direction in Automated Program Repair
(APR). Notably, it has been demonstrated to produce more acceptable and correct patches …