SSA · no agency ID · record R3115

Intelligent generation of modernized code.

Social Security Administration · Chief Information Officer

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2024-10-01 (day precision)Source: 10/1/2024 0:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The module uses AI techniques such as cluster analysis, pattern matching, templates, and programming language models to generate modernized code in a new target language. These AI techniques enable it to perform efficient data analysis, processing, and intelligent generation of new code. AI powered approach provides structured standardized code that’s highly maintainable.

Expected benefits

The GenAI component accelerates legacy system modernization by automatically analyzing COBOL and other legacy code, generating consistent business requirements documentation, and performing refactoring and re-imagining to transform code into modern languages and frameworks (e.g., Java, Java Spring Boot). This capability reduces manual effort required for document creation, supports knowledge retention as subject matter experts retire, and shortens development cycles by enabling faster updates to systems that serve the public.

System outputs

Transformed legacy code into modernized language, business and technical requirement documentation.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): AveriSource Platform
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): AveriSource
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: Model used data from internal sources for performance and evaluation purposes
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported