Knowledge Mining involves parsing the application source code into various forms of metadata required for the transformation process, such as symbol tables, abstract syntax trees (ASTs), as well as control flow and data flow analysis metadata. This metadata provides the data structures with which Trinity's transformation team members work, providing a standard framework for sharing intermediate results and for implementing transformation functionality.

Depending on client needs, Knowledge Mining can also produce various forms of documentation for the legacy software, such as data dictionary, detailed flowcharts, CRUD analysis, symbol tables, where-defined and where-used analysis, and application overview diagrams.

The primary purpose of Knowledge Mining is to perform the software code analyses on which Application Transformation depends.

Knowledge Mining deliverables vary with the needs of each individual project. Typical deliverables include:

• Abstract syntax trees
• Data & control flow analysis
• Multi-level source code flowcharts
• Business rules / business logic
• Application overview diagrams
• Screens/GUI Inventory
• Variable cross reference reports
• Data dictionary
• CRUD report
• Identification of redundant / cloned / similar code
• Intelligent Clustering Visualization, which analyzes application connectivity to support modernization project planning

Click the Request a Call button to request more information or a follow up call with one of our professionals.