Automated Inventory Analysis for Legacy Application Migration
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Solution Overview
Problem
Legacy application modernization is hindered by the complexity of analyzing application portfolios, identifying obsolete components, understanding database interactions, and determining business logic, which increases migration costs and risks, and requires skilled resources.
Innovation Solution
An inventory analysis tool that automates the analysis of application portfolios, supporting multiple programming languages, and providing interactive reports to understand complexity and facilitate migration, while allowing on-premise installation for security and integrating with existing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual migration method is used, then personnel can perform migration tasks, but errors may creep into the migration process increasing risks to business operations
Solution Approach 1:
The system performs self-analysis of legacy application code, automatically generating inventory reports, complexity assessments, and migration roadmaps without requiring manual human intervention in the analysis process
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems that use parsing, static analysis, and dynamic analysis tools to examine application code and generate migration assessments
2Measurement precision
If comprehensive analysis of application portfolios is performed manually, then detailed understanding of complexity and business logic is achieved, but the amount of time required to migrate legacy systems increases
Solution Approach 1:
The system performs preliminary analysis of application portfolios before migration begins, generating inventory reports, complexity assessments, and migration roadmaps in advance to prepare for efficient migration execution
Solution Approach 2:
The patent replaces manual analysis processes with automated computational systems that use parsing, static analysis, and dynamic analysis tools to rapidly examine application code and generate comprehensive migration assessments
3Loss of information
If manual migration analysis is performed, then skilled resources can understand business logic, but costs and personnel requirements increase
Solution Approach 1:
The system performs self-analysis of legacy application code, automatically generating inventory reports, complexity assessments, and migration roadmaps without requiring manual human intervention in the analysis process
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems that use parsing, static analysis, and dynamic analysis tools to examine application code and generate migration assessments
4Loss of information
If detailed inventory analysis is conducted, then obsolete components can be identified, but the complexity of the analysis process increases
Solution Approach 1:
The analysis system is divided into distinct modules including parsing components, static analysis tools, dynamic analysis tools, and report generation systems that work together in a structured pipeline
Solution Approach 2:
The system provides multiple analysis functions including inventory analysis, complexity assessment, obsolete component identification, and migration roadmap generation within a single integrated platform
Data Source
AI summary
A method and apparatus for migration of application source code may include parsing the source code and generating a first output, dynamically analyzing the source code to produce a second output wherein the second output comprises runtime metadata associated with the application, converting, using the runtime metadata, the source code of the application in an original language to a destination language on the second platform and a data source in an assigned format to a destination format. The method may include simulating memory to execute the source code by simulating a dynamic memory array, executing the source code within the dynamic memory array, detecting and resolving parameters of the source code by monitoring execution of the source code, and storing the detected and resolved parameters of the source code in a metadata register.


