Programming is a powerful and ubiquitous problem-solving tool. Systems that can assist
programmers or even generate programs themselves could make programming more …

The use of mobile devices is rising daily in this technological era. A continuous and
increasing number of mobile applications are constantly offered on mobile marketplaces to …

The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …

Test smells are defined as sub-optimal design choices developers make when
implementing test cases. Hence, similar to code smells, the research community has …

A transcompiler, also known as source-to-source translator, is a system that converts source
code from a high-level programming language (such as C++ or Python) to another …

The use of learning-based techniques to achieve automated software vulnerability detection
has been of longstanding interest within the software security domain. These data-driven …

Recent advances in self-supervised learning have dramatically improved the state of the art
on a wide variety of tasks. However, research in language model pre-training has mostly …

Measuring and evaluating source code similarity is a fundamental software engineering
activity that embraces a broad range of applications, including but not limited to code …

Large Language Models (LLMs) have gained considerable traction within the Software
Engineering (SE) community, impacting various SE tasks from code completion to test …

Recent advances in self-supervised learning have dramatically improved the state of the art
on a wide variety of tasks. However, research in language model pre-training has mostly …