The usage of deep learning (DL) approaches for software engineering has attracted much
attention, particularly in source code modelling and analysis. However, in order to use DL …

Recent years have seen the successful application of deep learning to software engineering
(SE). In particular, the development and use of pre-trained models of source code has …

In recent years, deep learning models have shown great potential in source code modeling
and analysis. Generally, deep learning-based approaches are problem-specific and data …

Deep learning models have been successfully applied to a variety of software engineering
tasks, such as code classification, summarisation, and bug and vulnerability detection. In …

Current statistical language modeling techniques, including deep-learning based models,
have proven to be quite effective for source code. We argue here that the special properties …

Deep Learning (DL) techniques for Natural Language Processing have been evolving
remarkably fast. Recently, the DL advances in language modeling, machine translation, and …

Recent years have witnessed the significant rise of Deep Learning (DL) techniques applied
to source code. Researchers exploit DL for a multitude of tasks and achieve impressive …

There has been a recent surge of interest in automating software engineering tasks using
deep learning. This article addresses the problem of code generation, in which the goal is to …

Context: Recently deep learning based Natural Language Processing (NLP) models have
shown great potential in the modeling of source code. However, a major limitation of these …

Pre-trained models of source code have recently been successfully applied to a wide variety
of Software Engineering tasks; they have also seen some practical adoption in practice, eg …