Interactive Enterprise IT Dependency Visualization
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Solution Overview
Problem
In complex enterprise IT environments with legacy and modern business applications, there is a lack of understanding about dependencies, making it difficult to analyze the impact of programming changes, assess risks, and perform regression testing, as existing methods are time-consuming, prone to errors, and not application-centric.
Innovation Solution
An automated system for cross-application dependency mapping using interactive visualization, which employs automated code parsing and scenario-based simulations to identify and map dependencies across all tiers, providing end-to-end traceability and impact reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual cross-tier analysis is performed to identify dependencies, then accuracy of dependency mapping is improved, but time consumption and labor effort increase significantly
Solution Approach 1:
The system segments the complex enterprise IT environment into discrete application components and their interdependencies, representing them as structured data models that can be automatically processed. This segmentation enables automated analysis tools to efficiently traverse and map dependencies without manual intervention, resolving the contradiction between accuracy and time consumption.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems. The automated dependency mapping system uses algorithms to parse application code, extract interface definitions, and construct dependency graphs automatically, substituting human analysts with machine-based processing that achieves both high accuracy and efficiency.
2Productivity
If automated code parsing is used to generate dependency maps, then productivity and speed are improved, but measurement precision and reliability may deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where the automated dependency mapping results are validated against known application behaviors and integration patterns. The system iteratively refines its parsing rules and dependency detection algorithms based on feedback from actual system operations, ensuring that automated analysis maintains high accuracy while achieving rapid results.
Solution Approach 2:
The patent introduces intermediary layers between automated code parsing and final dependency mapping, including validation rules, cross-referencing mechanisms, and consistency checks. These intermediaries act as mediators that verify automated analysis results, ensuring accuracy is maintained while benefiting from the speed of automated processing.
3Loss of information
If comprehensive cross-application dependency mapping is performed, then understanding of system impact is improved, but device complexity and processing requirements increase
Solution Approach 1:
The system addresses complexity by organizing dependency information across multiple dimensional layers, including application-level dependencies, component-level dependencies, and interface-level dependencies. This multi-dimensional organization allows comprehensive dependency tracking without overwhelming system complexity, as each layer can be analyzed and managed independently while contributing to the complete picture.
Data Source
AI summary
A system for providing a graphical user interface, including: a multi-tier hierarchy, stored in a database, which maps links between and among a plurality of tiers of an enterprise IT environment; and a dashboard that provides a user-interactive visualization of the enterprise IT environment based on the multi-tier hierarchy.