Millions of open source projects with numerous bug fixes are available in code repositories.
This proliferation of software development histories can be leveraged to learn how to fix …

Millions of open-source projects with numerous bug fixes are available in code repositories.
This proliferation of software development histories can be leveraged to learn how to fix …

Bug fixing is generally a manually-intensive task. However, recent work has proposed the
idea of automated program repair, which aims to repair (at least a subset of) bugs in different …

Recent years have seen the rise of Deep Learning (DL) techniques applied to source code.
Researchers have exploited DL to automate several development and maintenance tasks …

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 …

Detecting and fixing bugs are two of the most important yet frustrating parts of the software
development cycle. Existing bug detection tools are based mainly on static analyzers, which …

Mutation testing has been widely accepted as an approach to guide test case generation or
to assess the effectiveness of test suites. Empirical studies have shown that mutants are …

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 …

Machine Learning models from other fields, like Computational Linguistics, have been
transplanted to Software Engineering tasks, often quite successfully. Yet a transplanted …

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) …