This research explores how Large Language Models are fundamentally changing source code analysis, making software development more efficient and secure.

• Multiple Applications: LLMs analyze code for security vulnerabilities, documentation, bug detection, and code completion
• Specialized Models: The paper reviews transformer-based architectures optimized for source code interpretation
• Dataset Requirements: Examines what training data enables effective code understanding
• Engineering Impact: Enables automation of complex code review processes, reducing development time and improving code quality

Original Paper: Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets