CICS & COBOL → Java
Credit-card servicing, the ledger and disputes, off the mainframe
1,320references resolved across 5 codebases
- CICS
- COBOL
- VSAM
- +2
540.1K lines · 100% analyzed
Open dashboardZenseAI.CodeGenome reads a legacy codebase and reconstructs what was never written down.
ContinuousEvery run sharpens the next one
Explore the estate
Open a domain to see how ZenseAI.CodeGenome analyzes code, integrations, and architecture to generate dependency maps, business context, and modernization intelligence.
Credit-card servicing, the ledger and disputes, off the mainframe
1,320references resolved across 5 codebases
540.1K lines · 100% analyzed
Open dashboardWebForms, MVC and WCF on .NET Framework, ported to .NET 8
390references resolved across 2 codebases
13.5K lines · 100% analyzed
Open dashboardJakarta EE cargo booking and routing, unpicked into services
57%of the 30 beans map to a stateless service
8.2K lines · 100% analyzed
Open dashboardGeneral insurance policies and claims, recovered from CICS COBOL
212business rules recovered and named
13.9K lines · 100% analyzed
Open dashboardHR payroll and leave rules buried in PL/SQL packages, lifted out
22PL/SQL packages read line by line
8.4K lines · 100% analyzed
Open dashboardAn industrial control runtime and its field protocols, on unsupported stacks
16hardware layers across 5 field protocols
20.2K lines · 100% analyzed
Open dashboardSnapshot of explored domains15codebases2,237dependencies1,994business rules604Klines of code23technologies
How the analysis works
Every recommendation is grounded in source code, integrations, business rules, and architectural evidence. ZenseAI.CodeGenome transforms legacy systems into a connected intelligence layer that accelerates modernization decisions.
Read beyond the code
Analyze source code, integration flows, interfaces, configurations, databases, schedulers, and operational artifacts to uncover the complete technology estate.
604K lines analyzed across 6 modernization domains
Reconstruct enterprise knowledge
Extract dependencies, business rules, application relationships, and architecture patterns to create a modernization-ready intelligence foundation.
2,237 dependencies mapped and connected
Add business context to technical intelligence
Combine code insights, integration dependencies, architecture knowledge, and business intent to improve modernization accuracy and decision-making.
1,994 business rules recovered and classified
Modernize by business capability, not technology alone
Sequence modernization based on application dependencies, business criticality, domain boundaries, and operational risk.
Wave plans generated for all 6 modernization domains
Evidence in practice
Each one was missing from the documentation, recovered from the code, and moved the scope or the estimate.
The boundary is drawn on the service method, so one call can commit two aggregates.
Integrity workstream added before migration
None of them versioned, so a layout change is a coordinated release.
Customer master published as a schema first
Screen-only validation, invisible to every service caller.
Rules moved into the packages before the tier was retired
Snapshot of the sample codebase analyzed here.
Talk to us
We recommend the first two.
Tell us what you are moving from and to, and our modernization experts will come back with an initial read of the estate. Prefer to look first? Open a domain dashboard.