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 helping 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 …

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 …

This paper presents a novel end-to-end approach to program repair based on sequence-to-
sequence learning. We devise, implement, and evaluate a technique, called SequenceR, for …

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 …

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 …

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 …