As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can
offer reliable and up-to-date external knowledge, providing huge convenience for numerous …

Code comment generation aims at generating natural language descriptions for a code
snippet to facilitate developers' program comprehension activities. Despite being studied for …

Recent advances in fine-tuning large language models (LLMs) have greatly enhanced their
usage in domain-specific tasks. Despite the success, fine-tuning continues to rely on …

Testing healthcare Internet of Things (IoT) applications at system and integration levels
necessitates integrating numerous medical devices. Challenges of incorporating medical …

Selecting the best code solution from multiple generated ones is an essential task in code
generation, which can be achieved by using some reliable validators (eg, developer-written …

Deep learning source code models have been applied very successfully to the problem of
automated program repair. One of the standing issues is the small input window of current …

Discovering and mitigating software vulnerabilities is a challenging task. These
vulnerabilities are often caused by simple, otherwise (and in other contexts) harmless code …

Code vulnerability detection is a software security analysis technique that focuses on
recognizing and resolving possible code vulnerabilities and weaknesses. Its primary …

With the advent of AI-based coding engines, it is possible to convert natural language
requirements to executable code in standard programming languages. However, AI …

Software vulnerability detection is a software se-curity analysis technique that aims to
recognize possible code vulnerabilities and weaknesses. The majority of previous research …