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Reverse Engineering System of COBOL & PL-1 for Financial Institutions

Years of business logic can sit inside COBOL and PL-1 programs without a clear view of how data is transformed, routed, or reused. Scry AI’s reverse engineering of COBOL & PL-1 for financial institutions helps teams expose those flows, decode system behavior, and create the visibility needed to move the work forward.

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The Reality of Legacy System Modernization in Financial Institutions

Financial institutions still run critical operations on COBOL and PL-1 environments that have changed over the years of patching, enhancements, and business rule updates. What remains is often a system that still works but no longer explains itself clearly. Logic sits deep inside old programs, documentation is incomplete, and even simple questions about data movement can take significant effort to answer.

The difficulty grows further when institutions need to trace input-output relationships, understand embedded transformation rules, and recreate interface documentation. Limited legacy expertise and the risk of misreading business logic make modernization slower and more error prone.

How Legacy System Analysis Still Happens Today

Many teams still approach legacy modernization through manual code reading, manual data mapping, manual documentation, and repeated validation cycles. It slows progress, increases dependence on niche expertise, and makes consistency harder to maintain across large and complex codebases.

1
Manual code analysis
Teams review legacy programs line by line to understand business logic and processing behavior.
2
Tedious data mapping identification
Input and output relationships are traced manually across tables, fields, and data structures.
3
Complex documentation creation
Interface Control Documents and supporting technical references are recreated from scratch.
4
Slow validation and testing
Data transformations are checked manually across systems to confirm expected behavior.
5
Slow migration support
Findings from analysis are used to guide modernization and platform migration work.
6
Expert dependency
Progress often depends on a small set of specialists with a deep knowledge of legacy technologies.

Scry AI’s Legacy System Intelligence Solution

Built on Datatio®, Scry AI’s Legacy System Intelligence Solution® automates reverse engineering of legacy systems. It uncovers transformation logic, data relationships, and system behavior with greater speed and clarity. Datatio uses 60+ proprietary algorithms for data lineage, legacy-program reverse engineering, code analysis, and automated mapping of input and output tables.

  • Automated code analysis

    Automated analysis of legacy program logic across COBOL and PL/1 codebases.

  • Data mapping discovery

    Discovery of input and output relationships across tables and connected systems.

  • Transformation logic identification

    Identification of data conversions, aggregation logic, and conditional processing rules.

  • ICD generation

    Automated generation of interface documentation for analysis and downstream modernization.

  • Legacy data visibility

    End-to-end visibility into data structures, lineage, dependencies, and table-level relationships.

  • Modernization support

    System insights to move legacy programs into newer platforms and modern languages.

  • Scalable codebase processing

    Processing designed for large, complex codebases where manual analysis becomes slow and uneven.

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Bring Accuracy to COBOL and PL-1 Modernization Decisions

Give modernization teams deeper insight into COBOL and PL-1 data flows and transformation logic

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Frequently Asked Questions

Find answers to common questions about reverse engineering of COBOL and PL-1 systems for modernization work.

What does reverse engineering of COBOL & PL-1 mean?

It means analyzing COBOL and PL-1 programs to uncover business logic, identify data mappings, trace input and output relationships, and document how transformations work across legacy systems.

Scry AI supports modernization through Datatio® by automating code analysis, discovering data mappings, and identifying transformation logic. It then prepares system insights that help teams migrate with better accuracy and clarity.

Yes. Scry AI Datatio® is positioned for large and complex environments. It uses 60+ proprietary algorithms to reverse engineer legacy programs and compute data lineage and transformations at scale.

Scry AI can identify relationships across tables, aggregation logic, numerical and non-numerical transformations, and conditional rules including if-then-else structures.

Scry AI makes code behavior, data mappings, and transformation logic easier to analyze and document. This reduces the amount of manual interpretation that would otherwise depend on limited specialist knowledge.