This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

Measuring GitHub Copilot's Impact on Productivity Page 1 CODE-COMPLETION SYSTEMS
OFFERING suggestions to a developer in their integrated development environment (IDE) …

Integrated Development Environments (IDEs) have become central to modern software
development, especially with the integration of Artificial Intelligence (AI) to enhance …

Modern software development paradigms, including Service-Oriented Architecture (SOA),
tend to make use of available services eg, web service Application Programming Interfaces …

The application of deep learning techniques in software engineering becomes increasingly
popular. One key problem is developing high-quality and easy-to-use source code …

Source code comments are a cornerstone of software documentation facilitating feature
development and maintenance. Well-defined documentation formats, like Javadoc, make it …

Large language models (LLMs) have recently become remarkably good at improving
developer productivity for high-resource programming languages. These models use two …

Repository-level code completion aims to generate code for unfinished code snippets within
the context of a specified repository. Existing approaches mainly rely on retrieval-augmented …

Deep neural networks, especially pre-trained BERT models, have been widely applied in
programming language processing tasks and achieved promising results. Their down …

Software testing and verification are essential for keeping software systems reliable and safe
to use. However, it requires significant manual effort to write and maintain code artifacts …