This paper provides a comprehensive review of the literature concerning the utilization of
Natural Language Processing (NLP) techniques, with a particular focus on transformer …

Code intelligence leverages machine learning techniques to extract knowledge from
extensive code corpora, with the aim of developing intelligent tools to improve the quality …

Exploit code is widely used for detecting vulnerabilities and implementing defensive
measures. However, automatic generation of exploit code for security assessment is a …

Developers use shell commands for many tasks, such as file system management, network
control, and process management. Bash is one of the most commonly used shells and plays …

AI-based code generators are an emerging solution for automatically writing programs
starting from descriptions in natural language, by using deep neural networks (Neural …

Large Language Models (LLMs) have demonstrated remarkable potential in code
generation. The integration of Chain of Thought (CoT) reasoning can further boost their …

Context: Designing effective automatic smart contract comment generation approaches can
facilitate developers' comprehension, boosting smart contract development and improving …

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 …

Just-in-time software defect prediction (JIT-SDP) aims to predict whether a code commit is
defect-inducing or defect-clean immediately after developers submit their code commits. In …

Context: Code summarization refers to a task that automatically generates a natural
language description of a code snippet to facilitate code comprehension. Existing methods …