In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …

Neural Code Intelligence--leveraging deep learning to understand, generate, and optimize
code--holds immense potential for transformative impacts on the whole society. Bridging the …

Code clones are comparable code snippets that are introduced into software by developers
in order to increase software development productivity. A change to code clone may result in …

Recent years have witnessed tremendous progress in NLP-based code comprehension via
deep neural networks (DNN) learning, especially Large Language Models (LLMs). While the …

Various new technologies have developed as software security solutions have become
more critical. One of the essential parts of software quality is the product's security. Though …

A code property graph (CPG) is a joint representation of syntax, control flows, and data flows
of a target application. Recent studies have demonstrated the promising efficacy of …

The code clone detection issue has been researched using a number of explicit factors
based on the tokens and contents and found effective results. However, exposing code …

Abstract The fifth-generation (5G) mobile communication systems are already a reality. This
communication technology can increase and simplify the adoption of the Internet of Things …

Code clone detection is an important research topic in the field of software engineering. It is
significant in developing software and solving software infringement disputes to discover …

Re-using whole repositories as a starting point for new projects is often done by maintaining
a variant fork parallel to the original. However, the common artifacts between both are not …