Automated Software Release Validation Dashboard
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Solution Overview
Problem
Current methods for validating and managing software releases are inefficient and lack transparency, particularly in identifying the impact of software releases on dependent applications within a network environment.
Innovation Solution
A system for automated computer software release validation and management that aggregates data from various computing resources, computes an impact score for each application based on dependencies and artifacts, and provides a real-time dashboard for visualization of the validation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual validation methods are used for software releases, then flexibility and control are maintained, but efficiency and transparency are reduced
Solution Approach 1:
The system automatically collects dependency information from applications, computes impact scores, and generates validation reports without requiring manual intervention. The validation process serves itself by autonomously gathering data, analyzing relationships, and producing comprehensive validation status dashboards, thereby dramatically improving efficiency while maintaining high automation levels.
Solution Approach 2:
The patent replaces manual validation processes with an automated computer system that uses algorithms to compute impact scores and generate validation reports. The mechanical manual review process is substituted with electronic data collection, automated dependency analysis, and digital report generation, enabling continuous and transparent validation.
2Reliability
If comprehensive validation checking is performed, then reliability is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing dependency information between applications and computing resources before validation is needed. Impact scores are pre-computed and stored, allowing rapid validation assessment without time-consuming real-time analysis during the validation process itself.
Solution Approach 2:
The system creates a virtual copy of the validation process by automatically generating validation reports and dashboards that replicate comprehensive validation checking. These digital copies of validation status can be viewed, shared, and archived instantly, providing reliable validation information without requiring continuous manual review time.
3Measurement precision
If detailed dependency analysis is performed, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the complex validation task into distinct modular components: dependency information collection, impact score computation, and validation report generation. Each component handles a specific aspect of the analysis independently, making the overall system more manageable while maintaining precise measurement capabilities through structured data processing.
Solution Approach 2:
The patent introduces an intermediary impact score computation layer that translates complex dependency relationships into simplified quantitative metrics. This intermediary layer processes detailed dependency data and converts it into actionable impact assessments, reducing the perceived complexity while maintaining measurement precision through standardized scoring algorithms.
4Loss of information
If real-time validation monitoring is implemented, then transparency is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic validation monitoring rather than continuous real-time monitoring. Validation status is updated and monitored at specific intervals or triggered by events such as new software releases, providing transparent validation information without the sustained energy consumption of continuous monitoring operations.
Data Source
AI summary
A system is provided for automated computer software release validation and management. In particular, the system may receive and aggregate data from various computing resources within the network environment, such as computing applications. Based on the data, the system may determine which resources may be affected by a software release that is set to be deployed to the production environment. The system may further receive user inputs in the form of artifacts associated with one or more checkpoints used in a validation process associated with the software release. The system may then, through a reporting engine, provide a visualization of the data and checkpoints through a dashboard to provide a real-time status of the validation process. In this way, the system provides an efficient and transparent way to validate and manage computer software releases.


