Continuous Test Orchestration Using Test Case Intelligence Scoring

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Solution Overview

Problem

Existing data center management systems face challenges with static test execution plans that need constant revision due to changing dependencies, leading to delays and additional costs in test automation orchestration.

Innovation Solution

A data-driven autonomous data center test automation orchestration system that generates continuous test plans using historical test data, weighted statistical models, and real-time resource management to optimize execution and adapt to changing constraints.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If static test execution plans are used, then test automation orchestration is simple to manage, but the plans need constant revision due to changing dependencies, leading to delays and additional costs

Engineering Contradiction:

Improvetest automation orchestration managementVSAvoiddelays in test execution

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The patent implements dynamic test execution plans that automatically adapt to changing dependencies and constraints. The system continuously monitors test case intelligence scores, resource availability, and dependency changes, then dynamically adjusts the execution schedule without requiring manual revision. This resolves the contradiction by making the test automation orchestration both easy to manage (automatic adjustments) and timely (no delays from static plan revisions).

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms by analyzing test case intelligence scores and execution results in real-time. This feedback loop enables the system to automatically revise test execution plans based on actual performance data, dependency changes, and resource availability, eliminating the need for manual plan revisions while maintaining optimal execution schedules.

Inventive Principle:

Principle #23Feedback

2Ease of manufacture

If static test execution plans are used, then initial setup is straightforward, but constant revision is needed due to changing dependencies, increasing costs

Engineering Contradiction:

Improvetest plan setupVSAvoidadditional costs in test automation

Core Design Contradiction:

Ease of manufactureVSLoss of energy

Solution Approach 1:

The test automation system performs self-service by automatically generating and adjusting execution plans based on test case intelligence scores and dependency analysis. The system autonomously identifies required revisions, calculates optimal schedules, and implements changes without human intervention, maintaining straightforward initial setup while eliminating the costs associated with manual plan revisions.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes key parameters such as test case intelligence scores, execution priorities, and resource allocation dynamically based on actual test conditions and dependencies. This parameter-driven approach allows the system to adapt to changing requirements automatically, reducing the need for costly manual plan revisions while maintaining ease of initial setup.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If test schedules are manually adjusted, then flexibility to handle changing dependencies is achieved, but efficiency is reduced due to constant intervention

Engineering Contradiction:

Improvetest schedule flexibilityVSAvoidtest automation efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent replaces manual mechanical adjustment of test schedules with an automated intelligent system. The system uses test case intelligence scores, dependency graphs, and resource availability data to automatically generate and adjust execution schedules, providing the same flexibility as manual adjustment but with significantly higher efficiency and no constant human intervention.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces an intermediary intelligent orchestration layer between the test cases and execution infrastructure. This intermediary automatically handles schedule adjustments based on changing dependencies, providing flexibility while maintaining high productivity by eliminating the need for direct human intervention in schedule management.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12481944B2Data center environment architecture including test case scoring for use when performing test automation orchestration

Publication Date: 2025.11.25 DELL PROD LP

AI summary

A system, method, and computer-readable medium for performing a data center management and monitoring operation. The data center management and monitoring operation includes: receiving a plurality of system under test (SUT) test plans, each SUT test plan comprising a plurality of SUT test cases; analyzing the plurality of SUT test cases, the analyzing comprising generating a test case intelligence score for each of the plurality of SUT test cases; generating a continuous schedule for the SUT test plan, the generating the continuous schedule taking into account the test case intelligence score for each of the plurality of SUT test cases; and, continuously orchestrating the SUT test plan based upon the continuous schedule for the SUT test plan.