arXiv:2604.23816v2 Announce Type: replace-cross Abstract: Software documentation frequently becomes outdated or fails to exist entirely, yet developers need focused views of their codebase to understand complex systems. While automated reverse engineering tools can generate UML diagrams from code, they produce overwhelming detail without considering developer intent. We introduce query-driven UML diagram generation, where LLMs create diagrams that directly answer natural language questions about code. Unlike existing methods, our approach produces semantically focused diagrams containing only
Advances in large language models enable more sophisticated natural language understanding and generation, making query-driven diagram creation feasible.
This technology streamlines software development and maintenance by providing on-demand, context-aware visual documentation, significantly improving developer productivity and system comprehension.
Software development workflows can shift from manual or overly detailed automated diagram generation to intelligent, intent-driven visual representations directly answering developer questions.
- · Software developers
- · Large language model providers
- · Software engineering tools sector
- · Organizations with complex codebases
- · Traditional manual documentation services
- · Generic reverse engineering tools lacking intent recognition
Developers can quickly understand complex systems without sifting through voluminous auto-generated diagrams or outdated documentation.
The improved understanding leads to faster debugging, more efficient feature development, and higher code quality.
This could enable smaller teams to manage larger, more complex software projects, altering organizational structures and the demand for different skill sets in software engineering.
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Read at arXiv cs.AI