Source Code

Source code, the fundamental building block of software, is the subject of intense research focusing on improving its analysis, generation, and security. Current efforts leverage machine learning, particularly transformer-based models like BERT and GPT variants, and graph neural networks, to analyze code for vulnerabilities, predict defects, and even automatically generate code from natural language descriptions. These advancements have significant implications for software development, enhancing code quality, security, and developer productivity, while also raising new challenges related to code authorship attribution and the detection of AI-generated code.