System Control Data Streams for Unified Lifecycle Analytics
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Solution Overview
Problem
Conventional systems for test case management, issue and project tracking, and change management lack interoperability, leading to a fragmented view of the system development process and its impact on environments and applications, with errors due to manual calculations and lack of standardized formulae, and limited predictive accuracy in machine learning models.
Innovation Solution
A computing system that integrates data streams from QA, SDLC, and change management systems to generate a custom system data stream, using machine learning models to predict impacts on affected units and optimize data for single-interface presentation, enabling holistic analytics and predictive features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple separate systems (test case management, issue tracking, change management) are used to manage different aspects of system development, then functional capabilities are provided, but a holistic view of the system development process and its impact on environments and applications cannot be achieved
Solution Approach 1:
The patent combines multiple separate management systems (test case management, issue tracking, change management) into a unified system that integrates data from all these sources. This merging allows the system to provide a holistic view of the system development process while maintaining the functional capabilities of individual systems, thereby resolving the contradiction between information completeness and system complexity.
Solution Approach 2:
The unified system performs multiple functions by integrating capabilities of separate systems. It simultaneously manages test cases, tracks issues, monitors changes, and provides holistic visibility across the system development lifecycle. This multi-functionality eliminates the need for multiple separate systems while preserving all necessary management capabilities.
2Reliability
If manual calculations are used in conventional systems, then operations can be performed, but errors occur due to lack of standardized formulae
Solution Approach 1:
The system transforms manual calculation processes into automated computations by defining standardized formulae and parameters. This parameter standardization ensures consistent and accurate calculations across all system operations, eliminating human error while maintaining operational flexibility through configurable parameters.
Solution Approach 2:
The patent replaces manual mechanical calculation processes with automated computational systems. By substituting human manual operations with standardized automated formulae, the system achieves higher reliability and consistency in calculations while reducing the extent of manual automation required.
3Loss of information
If data from multiple systems is integrated into a unified view, then holistic analytics are enabled, but system complexity and data integration challenges increase
Solution Approach 1:
The patent introduces intermediary components that facilitate data integration between multiple systems. These intermediaries act as mediators that standardize data formats, transform data from different sources, and enable seamless integration while managing the complexity of combining heterogeneous data streams into a unified holistic view.
Data Source
AI summary
A custom system data stream stitches together aspects of data streams from source systems. In one implementation, an analytics circuit extracts from a first data stream received from a system quality assurance (QA) management system, test case data. The analytics circuit parses metadata, such as a user story identifier, from the test case data. Based on the metadata, the analytics circuit parses, from a second data stream received from a system development lifecycle (SDLC) management computing system, SDLC item data, such as a project identifier. Based on the SDLC item data, the analytics circuit determines at least one impacted computer application. The custom system data stream is bound to a graphical user interface. In some implementations, the interface includes a plurality of side-by-side smart dials.