Executive Summary
Migrating hundreds of legacy applications from mainframe to cloud is not just an engineering task, it is a transformation bottleneck that spans requirement discovery, test coverage, and delivery readiness. Many large enterprises face delays due to outdated documentation, incomplete test suites, and the manual effort needed to translate legacy logic into Agile-ready artifacts.
To address this, a GenAI-powered automation engine was developed by Factspan to reverse-engineer business logic, generate structured requirements, create user stories, and auto-draft test cases directly from legacy codebases. Built for scale and auditability, the solution enables faster backlog transformation and accelerates delivery across modernization initiatives
Business Impact:
- ~75–80% reduction in total effort for requirement, story, and test case creation
- 60% improvement in alignment between generated test cases and legacy functionality
- 50% faster test planning cycle for target migration modules
- Higher migration confidence through standardized documentation and validation
Featured content
Agentic Test Automation for QA Accelerat...
January 13, 2026
Fast‑Tracking Cloud Migration of Legac...
January 5, 2026
Data & BI DevOps Modernization for a...
November 26, 2025
Enterprise Cloud SRE Modernization for a...
November 26, 2025
Log Unification & Cross-Cloud Observ...
November 24, 2025
Optimizing Theme Park Operations with Re...
November 14, 2025
Modernizing DataRobot Models on Google C...
October 14, 2025
Driving Platform Rationalization with Cl...
September 1, 2025
Automating Oncology Intake with AI-Power...
July 14, 2025
Modernizing Health Claims Analytics with...
June 12, 2025