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 …

Abstract Automated Program Repair (APR) has attracted significant attention from software
engineering research and practice communities in the last decade. Several teams have …

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

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 …

OpenAI's Codex, a GPT-3 like model trained on a large code corpus, has made headlines in
and outside of academia. Given a short user-provided description, it is capable of …

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 …

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 …

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 …

A large body of the literature of automated program repair develops approaches where
patches are generated to be validated against an oracle (eg, a test suite). Because such an …