Legacy Software Migration via Automated Static Analysis
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Solution Overview
Problem
Legacy software systems face challenges in migration to modern architectures due to obsolescence, cyber vulnerabilities, and maintenance complexities, with existing tools lacking precision and efficiency in identifying and correcting coding issues and architecture problems.
Innovation Solution
A computer-implemented method and system for migrating monolithic legacy software to a modular target architecture, involving abstract syntax tree creation, coding violation analysis, architecture issue identification, and autonomous refactoring, which automatically generates new source code and schedules transformation tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tools are used to analyze legacy software systems, then basic code understanding is achieved, but precision and granularity in identifying specific deteriorating modules and issues are insufficient
Solution Approach 1:
The patent segments the legacy software system into individual modules, functions, and data structures through automated static analysis. The system divides the monolithic codebase into manageable units, analyzing each component separately to identify specific coding violations, smells, and architecture issues with granular precision at the module level.
Solution Approach 2:
The patent introduces an intermediary automated analysis system that acts as a mediator between the legacy code and human programmers. This intermediary toolchain includes static analyzers, abstract syntax tree generators, and reporting systems that translate complex code structures into comprehensible issue identifications, eliminating the need for manual code review while providing precise issue location.
2Productivity
If manual code analysis is performed by programmers, then code understanding is possible, but the process is time-consuming and prone to human errors
Solution Approach 1:
The patent implements self-service through automated static analysis tools that independently examine the legacy codebase without human intervention. The system automatically generates abstract syntax trees, identifies coding violations, detects coding smells, and produces detailed reports, enabling the migration process to proceed without continuous manual analysis while maintaining high accuracy.
Solution Approach 2:
The patent replaces the mechanical manual code review process with an automated computational system. Instead of programmers manually reading and analyzing code, the system uses static analysis engines, pattern matching algorithms, and automated reporting tools to perform the same function more efficiently and accurately.
3Reliability
If legacy software systems are maintained as-is, then existing functionality is preserved, but the systems degrade over time due to maintenance issues and obsolescence
Solution Approach 1:
The patent applies preliminary action by performing comprehensive static analysis and identifying coding violations, smells, and architecture issues before the migration process begins. The system pre-assesses the legacy codebase, creates detailed issue reports, and plans the refactoring strategy in advance, ensuring that reliability issues are addressed proactively during migration rather than reactively after deployment.
4Ease of operation
If original programmers are no longer available, then institutional knowledge is lost, but the legacy systems continue to operate
Solution Approach 1:
The patent implements feedback mechanisms where the automated analysis system continuously monitors the legacy codebase, identifies issues, and provides actionable recommendations. The system generates detailed reports that feed into the migration planning process, creating a feedback loop that captures institutional knowledge about code quality issues and maintains documentation of the system's technical debt throughout the migration process.
Data Source
AI summary
A software migration system includes a processor; a user interface that receives and displays components of a legacy software and a new software system; and a migration program as machine instructions stored on a non-transitory, computer-readable storage medium. The processor executes to identify reference models, standards, and requirements of a system common architecture that together define a process for migrating the legacy software to the new software system; load the legacy software onto a virtual machine instantiated on a dedicated hardware platform; refactor the legacy software; subdivide the refactored legacy software into legacy software subsets; move a first legacy software subset to a second virtual machine instantiated on the hardware platform; for a second legacy software subset, adapt the second legacy software subset to the system common architecture; and combine the adapted second legacy software subset and the first legacy software subset to produce the new software system.