The complexity and diversity of bug fixes require developers to understand bug fixes from
multiple perspectives in addition to fine-grained code changes. The dependencies among …

Background: In modern software systems' maintenance and evolution, how to fix software
bugs efficiently and effectively becomes increasingly more essential. A deep understanding …

Background: Automatic program repair aims to reduce costs associated with defect repair.
The detection and characterization of common bug‐fix patterns in software repositories play …

Bugs appear in almost any software development. Solving all or at least a large part of them
requires a great deal of time, effort, and budget. Software projects typically use issue …

Fixing software bugs can be colossally expensive, especially if they are discovered in the
later phases of the software development life cycle. As such, bug prediction has been a …

Researchers proposed a wide range of approaches to build effective bug prediction models
that take into account multiple aspects of the software development process. Such models …

When interacting with source control management system, developers often commit
unrelated or loosely related code changes in a single transaction. When analyzing version …

Context: Software bug prediction techniques can provide informative guidance in software
engineering practices. Over the past 15 years, developer information has been intensively …

Background. SZZ algorithm has been popularly used to identify bug-inducing changes in
version history. It is still limited to link a fixing change to an inducing one, when the fix …

Modern Deep Learning (DL) architectures based on transformers (eg, BERT, RoBERTa) are
exhibiting performance improvements across a number of natural language tasks. While …