Correlating Application Systems via Group Models
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Solution Overview
Problem
In technical application systems, users often face errors and inefficiencies when entering role information in multiple groups that share similar roles, leading to potential data inconsistencies and errors due to separate data entry requirements.
Innovation Solution
A computer-implemented method that correlates application systems within groups to generate a correlation model, allowing for the creation of a target group based on these correlations, which enables users to select and edit system information across groups, reducing redundant data entry and errors by using one group as a template for others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users enter role information separately in each group, then each group can have its own data, but user errors and data inconsistencies increase
Solution Approach 1:
The patent creates a correlation model that copies role information from one group to another. When role information is entered in one group, it is automatically replicated to correlated groups through the correlation model, eliminating manual re-entry and ensuring consistency across groups while maintaining the ability to have group-specific data where needed.
2Productivity
If separate data entry is required for each group, then data can be customized per group, but time consumption and error margin increase
Solution Approach 1:
The patent establishes correlation models in advance that define relationships between groups. Once the correlation model is set up, role information can be entered once and automatically propagated to all correlated groups, significantly reducing the time required for data entry while allowing for preliminary customization of group relationships.
3Reliability
If role information is entered in each group independently, then each group maintains independence, but errors of omission and typographical errors increase
Solution Approach 1:
The patent introduces a correlation model as an intermediary between groups. This correlation model acts as a mediator that manages the relationships between groups, automatically propagating role information while allowing groups to maintain their independence. The correlation model handles the complexity of data synchronization, reducing errors while preserving group autonomy.
Data Source
AI summary
Implementations of a computer-implemented method include instantiating a first computer program that is executable using one or more processors, using the first computer program, defining a first group comprising a plurality of application systems and a second group comprising a plurality of application systems, correlating the plurality of application systems within the first group to generate a correlation model, storing the correlation model in a computer-readable storage medium, and providing a target group comprising a plurality of application systems based on the correlation model.


