AI-Enhanced ULS Reverse Engineering
Description
Accelerates legacy code analysis and documentation that would otherwise require extensive manual review.
Detailed example
(1) Extracts and documents business logic, data flows, and application architecture from legacy code; (2) Generates visual models such as business process diagrams, integration maps, and data flow diagrams; and (3) Produces structured documentation including source code analysis, performance metrics, and modernization-ready technical artifacts.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Accelerates the analysis and documentation of legacy code in the Universal Licensing System (ULS), reducing manual workload and enabling timely reverse engineering. This supports long-term modernization of the ULS application, helping the agency maintain a scalable, reliable licensing system and improving service delivery to the general public.
Controls / human review
ATO: No; PIA: Not published
Data needed
The AI system uses legacy ULS source code including scripts, stored procedures, and application components as input to extract business logic and architecture. These assets are used to evaluate the model’s ability to automate reverse engineering and documentation.