Automated Application Modernization Assessment System
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Solution Overview
Problem
The process of application modernization and migration is time-intensive and lacks consistency due to the large number of applications within an organization's portfolio, requiring significant personnel and computing resources to analyze and provide recommendations.
Innovation Solution
A method involving a survey module to collect responses to categorized questions, calculate normalized scores, determine rationalization parameters, and generate migration recommendations, with an application data preparation module to automate the preparation of application data based on these recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual analysis by specialists is used to evaluate application portfolios, then recommendation consistency can be maintained, but the process becomes time-intensive and requires significant personnel resources
Solution Approach 1:
The patent replaces manual mechanical analysis by specialists with an automated computer system that uses algorithms to evaluate application portfolios. The system automatically collects data, calculates scores, determines rationalization parameters, and generates migration recommendations, eliminating the need for manual intervention while maintaining consistent, repeatable results through standardized computational processes.
Solution Approach 2:
The patent transforms qualitative expert judgment into quantitative parameters through standardized scoring mechanisms. By converting application evaluation criteria into measurable parameters (technical score, business score, migration score) and using normalized score calculations, the system enables automated processing while maintaining evaluation consistency across large application portfolios.
2Reliability
If manual analysis by specialists is used to evaluate application portfolios, then recommendation consistency can be maintained, but significant personnel and computing resources are required
Solution Approach 1:
The patent replaces manual mechanical analysis by specialists with an automated computer system that uses algorithms to evaluate application portfolios. The system automatically collects data, calculates scores, determines rationalization parameters, and generates migration recommendations, eliminating the need for manual intervention while maintaining consistent, repeatable results through standardized computational processes.
Solution Approach 2:
The patent creates a universal evaluation framework that can assess multiple applications across diverse categories using the same standardized process. The system handles various application types (on-premise, cloud, SaaS, mobile) and organizational preferences through a single unified algorithmic approach, reducing the need for specialized personnel for different evaluation scenarios.
3Productivity
If automated systems are used to analyze application portfolios, then processing speed increases, but recommendation consistency becomes difficult to maintain
Solution Approach 1:
The patent transforms qualitative expert judgment into quantitative parameters through standardized scoring mechanisms. By converting application evaluation criteria into measurable parameters (technical score, business score, migration score) and using normalized score calculations, the system enables automated processing while maintaining evaluation consistency across large application portfolios.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system calculates normalized scores based on organizational preferences and compares them against established thresholds and historical data. This feedback loop ensures that automated recommendations remain consistent with organizational goals and can be adjusted based on changing priorities while maintaining reproducible results.
Data Source
AI summary
A computing device and method for preparing application data based on a migration recommendation includes collecting survey responses to categorized questions and assigning a score to each of the survey response. The scored survey responses are normalized and rationalization parameters are determined based on the normalized scores. Application data are prepared for migration based on a recommended disposition determined from the rationalization parameters.


