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CoreStory uses AI to extract business rules from COBOL code

Extracting business logic from legacy COBOL code presents a significant challenge due to its complex, interwoven nature across numerous programs and data definitions. While traditional static analysis tools like IBM ADDI map dependencies, they struggle to interpret the meaning of the code. Newer LLM-assisted approaches can summarize code but risk inaccuracies. CoreStory's model uniquely combines structural COBOL analysis with AI to generate validated business specifications, achieving an 85.5% SME validation rate in a recent engagement. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Provides a specialized AI solution for modernizing legacy COBOL systems, potentially accelerating enterprise digital transformation.

RANK_REASON The cluster describes a product that uses AI to solve a specific problem, rather than a core AI model release or significant industry-wide event.

Read on dev.to — LLM tag →

COVERAGE [2]

  1. dev.to — LLM tag TIER_1 · Michel Ozzello ·

    How to Extract Business Rules from Legacy COBOL Code

    <blockquote> <p><strong>TL;DR</strong> Extracting business rules from COBOL is where most modernization projects succeed or fail. The challenge isn’t reading the code but understanding the business logic embedded across thousands of programs, copybooks, and PERFORM chains. Static…

  2. dev.to — LLM tag TIER_1 · Michel Ozzello ·

    How to Extract Business Rules from Legacy COBOL Code

    <blockquote> <p><strong>TL;DR</strong> Extracting business rules from COBOL is where most modernization projects succeed or fail. The challenge isn’t reading the code but understanding the business logic embedded across thousands of programs, copybooks, and PERFORM chains. Static…