Data Connection Tracing System for Development Workflow Management
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Solution Overview
Problem
Existing data management systems are inefficient in tracing connections between data groups or folder groups, making it difficult to recognize the impact and factors of failures across multiple deliverables and components in a development process.
Innovation Solution
A non-transitory computer-readable recording medium stores a management program that analyzes and outputs connection information between data items and folders, allowing for the tracing of connections between specified data and folder groups, both forward and backward, to efficiently identify relationships and potential issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional tracing methods are used to check connections between data groups or folder groups, then individual connection tracing is possible, but the efficiency of checking connections between multiple data items or folders is low
Solution Approach 1:
The patent combines multiple individual connection tracing operations into a single batch processing operation. The system allows users to select multiple data items or folders as connection sources and multiple target items, then performs connection analysis for all combinations in one execution, rather than requiring separate tracing for each pair. This merging of operations directly addresses the efficiency problem by reducing the total number of processing steps required.
Solution Approach 2:
The connection analysis system is designed to handle multiple types of connection tracing scenarios within a single tool. It can trace connections from multiple sources to multiple targets simultaneously, support different data types (data items and folders), and provide comprehensive connection information including both direct and indirect connections. This multi-functional capability eliminates the need for multiple specialized tracing tools or repeated manual operations.
2Measurement precision
If detailed connection information is traced between individual data items, then accurate connection paths are identified, but the complexity of analyzing connections between large groups of data increases
Solution Approach 1:
The system segments the connection analysis task into manageable components: selecting connection sources, selecting target items, performing the analysis, and presenting results. By breaking down the complex task of analyzing connections between large data groups into these discrete steps, the system maintains accuracy while reducing the perceived complexity for users. Each segment can be independently configured and executed.
Solution Approach 2:
The patent introduces an intermediary analysis system that automatically processes the complex connection tracing between multiple data items and folders. This intermediary system handles the computational complexity of analyzing numerous connection paths, performing the detailed tracing operations behind the scenes, and presenting the results in a simplified format. Users interact with the intermediary system rather than directly managing the complex analysis operations.
Data Source
AI summary
A computer stores connection information with respect to data items that are management targets. The connection information identifies connection sources and connection destinations. The computer executes a process including performing analysis based on the connection information with respect to first and second data, which are specified as output targets of information indicating connections; outputting first connection information as information indicating a connection between first and second data, when one or a plurality of data items that are connection destinations are traced from the first data set as a connection source, and the second data is reached as a connection destination; and outputting second connection information as information indicating a connection between third and fourth data, when one or a plurality of data items that are connection destinations are traced from the third data set as a connection source, and the fourth data is reached as a connection destination.