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

For decades, much software engineering research has been dedicated to devising
automated solutions aimed at enhancing developer productivity and elevating software …

Code writing is repetitive and predictable, inspiring us to develop various code intelligence
techniques. This survey focuses on code search, that is, to retrieve code that matches a …

Code search, which refers to the process of identifying the most relevant code snippets for a
given natural language query, plays a crucial role in software maintenance. However …

Recently, contrastive learning has become a key component in fine-tuning code search
models for software development efficiency and effectiveness. It pulls together positive code …

Recently, Graph Neural Network (GNN)-based vulnerability detection systems have
achieved remarkable success. However, the lack of explainability poses a critical challenge …

Transformer based code models have impressive performance in many software
engineering tasks. However, their effectiveness degrades when symbols are missing or not …

Code search plays a crucial role in software development, enabling developers to retrieve
and reuse code using natural language queries. While the performance of code search …

Software quality is key to the success of software systems. Modern software systems are
growing in their worth based on industry needs and becoming more complex, which …

Code search is a vital activity in software engineering, focused on identifying and retrieving
the correct code snippets based on a query provided in natural language. Approaches …