IT Workflow Rule Similarity Scoring for Migration
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Solution Overview
Problem
Users face challenges in migrating user-customized IT workflow data to upgraded IT management applications, as the customized data may become similar to new model IT workflow data provided with the upgrade, leading to potential functional inferiority due to lack of metadata and optimized functionality in user-customized workflows.
Innovation Solution
A similarity scoring system is developed to compare user-customized IT workflow data with model IT workflow data, determining a similarity score based on rule comparisons using Levenshtein distance and Dice coefficient determiners, allowing users to select model IT workflow data if it exceeds a threshold, thereby ensuring superior functionality and compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users migrate their customized IT workflow data to upgraded IT management applications, then they can use new features and improved functionality, but their customized data may become similar to new model IT workflow data, resulting in loss of unique functionality and metadata
Solution Approach 1:
The patent segments the IT workflow data into multiple components including rules, metadata, and configuration parameters. By dividing the data structure into distinct segments, the system can selectively preserve unique metadata while adopting compatible rule structures from model workflows, thus maintaining both compatibility and uniqueness.
Solution Approach 2:
The patent applies local quality by allowing different parts of the workflow data to have different levels of customization. Critical metadata and unique functionality are preserved in specific segments while other segments are standardized to match model workflows, ensuring that unique value is retained where needed while achieving compatibility elsewhere.
2Reliability
If users retain their customized IT workflow data, then they maintain unique functionality and metadata, but they may miss out on superior functionality and optimized performance of new model IT workflows
Solution Approach 1:
The patent implements a dynamic approach where the system can switch between customized workflow data and model workflow data based on configuration choices. Users can dynamically select which workflow version to use, allowing them to optimize for either reliability of customized processes or access to new features as needed.
Solution Approach 2:
The patent creates a copy mechanism where users can maintain their customized workflow data as a separate copy while also having access to model workflow data. This allows users to preserve their reliable customized workflows while copying selective elements from model workflows when desired, without losing either version.
3Productivity
If users adopt new model IT workflow data in upgraded applications, then they gain superior functionality and metadata, but they risk losing compatibility with existing customized processes and configurations
Solution Approach 1:
The patent designs the workflow data structure with universal elements that can function in both customized and model contexts. The rule structures are designed to be multi-functional, allowing them to operate effectively whether derived from user customization or model workflows, thus achieving both productivity improvement and compatibility.
Solution Approach 2:
The patent introduces an intermediary layer in the data migration process that mediates between customized and model workflow data. This intermediary structure translates and reconciles differences between the two formats, allowing users to adopt model workflows while maintaining compatibility with existing customized processes through the mediating translation layer.
4Ease of operation
If users perform manual migration of customized IT workflow data, then they can maintain control over the process, but it requires significant time and effort to ensure data integrity and compatibility
Solution Approach 1:
The patent performs preliminary actions by automatically preparing and validating workflow data before migration. The system pre-processes customized data to identify compatibility issues, pre-generates migration mappings, and pre-validates data integrity, thereby reducing the time and effort required during the actual migration execution while maintaining user control.
Solution Approach 2:
The patent implements self-service automation where the migration system automatically performs data transformation, validation, and compatibility checking without requiring extensive manual intervention. Users initiate the process and review results, but the system autonomously handles the complex migration tasks, significantly reducing manual time investment while preserving user oversight.
Data Source
AI summary
In some examples, first segment of computer language text in a first rule in IT workflow data and a second segment of computer language text in a second rule in the IT workflow data may be identified. In some examples, a similarity score may be determined between the first and the second rules based on a comparison of the first segment with the second segment.