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 …

This review article provides an in-depth analysis of the growing field of AI-assisted
programming tasks, specifically focusing on the use of code embeddings and transformers …

Context: Most defect prediction methods consider a series of traditional manually designed
static code metrics. However, only using these hand-crafted features is impractical. Some …

Context: Neural code generation aims to automatically generate code snippets guided by
Natural Language Descriptions (NLDs). In recent years, various neural code generation …

Concise and precise bug report titles help software developers to capture the highlights of
the bug report quickly. Unfortunately, it is common that bug reporters do not create high …

In Stack Overflow, developers may not clarify and summarize the critical problems in the
question titles due to a lack of domain knowledge or poor writing skills. Previous studies …

Code translation tools are developed for automatic source-to-source translation. Although
learning-based transpilers have shown impressive enhancement against rule-based …

In the past couple of decades, significant research efforts are devoted to the prediction of
software bugs. However, most existing work in this domain treats all bugs the same, which is …

Abstract Code Smell Severity Prioritization (CSSP) is crucial in helping software developers
minimize software maintenance costs and enhance software quality, particularly when faced …

Stack Overflow is one of the most popular programming communities where developers can
seek help for their encountered problems. Nevertheless, if inexperienced developers fail to …