Code completion serves as a fundamental aspect of modern software development,
improving developers' coding processes. Integrating code completion tools into an …

Recent advances in Large Language Models (LLM) have made automatic code generation
possible for real-world programming tasks in general-purpose programming languages …

The recent advancements in Artificial Intelligence, particularly in large language models and
generative models, are resha** the field of software engineering by enabling innovative …

Software engineering research has always being concerned with the improvement of code
completion approaches, which suggest the next tokens a developer will likely type while …

Transformers have gained popularity in the software engineering (SE) literature. These deep
learning models are usually pre-trained through a self-supervised objective, meant to …

Code completion aims at speeding up code writing by predicting the next code token (s) the
developer is likely to write. Works in this field focused on improving the accuracy of the …

Pre-trained code representation models such as CodeBERT have demonstrated superior
performance in a variety of software engineering tasks, yet they are often heavy in …

Software Engineering (SE) is the systematic design, development, and maintenance of
software applications, underpinning the digital infrastructure of our modern mainworld. Very …

One of the most common solutions adopted by software researchers to address code
generation is by training Large Language Models (LLMs) on massive amounts of source …

Neural Language Models of Code, or Neural Code Models (NCMs), are rapidly progressing
from research prototypes to commercial developer tools. As such, understanding the …