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VELX – Discovery, Knowledge Extraction & Digital Twin

Overview​

VELX provides advanced automated system discovery, business rule extraction, architectural reconstruction, and AI-enhanced documentation generation for complex legacy and distributed systems.

This module serves as the foundation of the modernization lifecycle by transforming opaque legacy environments into structured, searchable, and visualized knowledge assets.

1. Automated Source Code Analysis & Dependency Discovery

VELX performs deep static and structural analysis across multi-language codebases to reconstruct system topology and internal dependencies.

Capabilities​

  • Multi-language parsing (COBOL, Java, C#, PL/SQL, etc.)
  • Abstract Syntax Tree (AST) generation
  • Control flow and data flow analysis
  • Cross-module dependency graph extraction
  • API and interface contract discovery
  • Configuration and environment mapping
  • External system integration detection
  • Detection of circular dependencies and tight coupling

Outputs​

  • Directed dependency graphs
  • Service boundary candidates
  • Module interaction matrices
  • Code complexity metrics
  • Technical debt indicators
  • Integration maps

All outputs are traceable to original source locations.

2. Business Rule & Logic Extraction

VELX automatically extracts embedded business logic from procedural and declarative code, including implicit rules not previously documented.

Capabilities​

  • Identification of conditional rule structures
  • Transaction flow reconstruction
  • Batch job dependency mapping
  • Data transformation rule extraction
  • Validation logic discovery
  • Hidden business constraints detection
  • Policy and compliance rule identification

Outputs​

  • Structured business rule catalogs
  • Decision trees
  • Domain capability mappings
  • Process flow diagrams
  • Rule-to-code traceability matrix

VELX maintains bidirectional traceability between business artifacts and source code.

3. Data Flow & System Architecture Reconstruction

VELX reconstructs system architecture from code and runtime metadata.

Capabilities​

  • Data lineage tracing across services
  • Database schema relationship mapping
  • Stored procedure dependency analysis
  • Message queue and event flow mapping
  • Cross-system integration modeling
  • Runtime telemetry ingestion (optional)

Outputs​

  • Logical architecture diagrams
  • Physical deployment inference
  • Data lineage visualizations
  • Context diagrams
  • Sequence diagrams
  • Architectural risk heat maps

This reconstruction supports impact analysis and modernization planning.

4. AI-Generated Documentation & Design Artifacts

VELX leverages Generative AI and Retrieval Augmented Generation (RAG) to produce structured documentation grounded in system-specific context.

Generated Artifacts​

  • Executive system summaries
  • Technical architecture documentation
  • Code summaries (file-level, module-level, system-level)
  • API documentation
  • Domain model documentation
  • Data dictionary
  • Migration readiness reports
  • Technical debt assessments
  • Refactoring recommendations

All AI outputs are context-grounded and reference underlying source components.

5. Retrieval Augmented Generation (RAG)

VELX uses RAG techniques to ensure contextual accuracy and reduce hallucination risk in AI outputs.

RAG Architecture​

  1. Codebase indexing and embedding
  2. Knowledge graph augmentation
  3. Context retrieval based on query intent
  4. Injection of relevant code segments and architecture artifacts
  5. Constrained AI generation

Indexed Assets​

  • Source code
  • Historical documentation
  • Configuration files
  • Schema definitions
  • Integration specifications
  • Extracted business rule repository

This approach ensures generated documentation and insights are grounded in the actual system state.

6. Digital Twin & Architectural Observability

VELX constructs a live Digital Twin of the analyzed system, representing its structural and logical state.

Digital Twin Components​

  • Code knowledge graph
  • Business capability mapping
  • Dependency visualization engine
  • Data lineage model
  • Runtime signal integration (optional)

Visualization Capabilities​

  • Interactive dependency graphs
  • Service interaction heat maps
  • Change impact simulation
  • Modernization scenario modeling
  • Risk propagation analysis
  • Architectural drift detection

The Digital Twin serves as a continuously updated architectural observability layer.

7. Governance & Traceability

All discovery and documentation artifacts include:

  • Full traceability to original source code
  • Versioned artifact history
  • Role-based access control
  • Audit logging of generated outputs

This ensures enterprise-grade accountability and reproducibility.

Summary

The VELX Discovery & Knowledge Extraction module transforms complex legacy systems into structured, visualized, and AI-queryable knowledge assets.

By combining automated static analysis, business logic extraction, architectural reconstruction, Retrieval Augmented Generation (RAG), and Digital Twin visualization, VELX enables engineering teams to:

  • Understand legacy systems rapidly
  • Reduce modernization risk
  • Generate accurate documentation
  • Perform impact analysis confidently
  • Build modernization strategies grounded in real system behavior