Incident Response Interface Using Resource Embeddings and Impact Values

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Solution Overview

Problem

Existing software development systems lack the ability to efficiently, dynamically, and reliably manage development resource reference units and technology operations incident events, leading to inefficiencies in agile development environments.

Innovation Solution

Implement a development resource and technology operations system that generates development resource reference unit impact values, embedding vectors, and responsive directions, and provides interface components to facilitate efficient and dynamic enterprise operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual management methods are used for development resource reference units and technology operations incident events, then system complexity is reduced, but productivity and efficiency deteriorate

Engineering Contradiction:

Improveefficiency of managing development resource reference units and technology operations incident eventsVSAvoidcomplexity of the management system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables automated self-service through machine learning models that automatically evaluate development resource reference units, generate embedding vectors, determine impact values, and initiate responsive actions without human intervention. The technology operations incident event response interface component and development resource reference unit impact interface component autonomously manage incident responses and resource evaluations, respectively.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical management processes are replaced with automated computational systems. Machine learning models substitute human analysts in evaluating resources and incidents, while automated interface components replace manual coordination between development resources and technology operations, transforming mechanical human operations into automated digital processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated evaluation and management systems are implemented, then productivity improves, but device complexity increases

Engineering Contradiction:

Improvedynamic management capability of development resource reference unitsVSAvoidcomplexity of automated evaluation and management system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated management system is segmented into distinct functional modules: machine learning models for evaluation, embedding vector generation components, impact value calculation modules, and interface components for incident response. This segmentation allows each component to perform specific tasks independently, managing complexity through modular architecture while maintaining high productivity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Embedding vectors serve as intermediaries between development resource reference units and the evaluation system, transforming complex resource characteristics into standardized numerical representations. The technology operations incident event response interface component and development resource reference unit impact interface component act as mediators that coordinate between different system functions, simplifying interactions while enabling automated management.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If machine learning models are used for evaluating development resource reference units, then measurement precision improves, but use of energy increases

Engineering Contradiction:

Improveprecision of development resource reference unit impact evaluationVSAvoidcomputational energy consumption of machine learning models

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system applies partial action by using machine learning models selectively for specific evaluation tasks rather than continuously processing all data. Embedding vectors are generated and updated only when necessary, and impact evaluations are performed on-demand based on technology operations incident events, reducing unnecessary computational energy consumption while maintaining measurement precision when needed.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20260003613A1Apparatus, method, and computer program product for outputting a development resource reference unit impact interface component to a development resource reference unit interface and outputting a technology operations incident event response interface component to a technology operations incident event response interface

Publication Date: 2026.01.01 ATLASSIAN PTY LTD

AI summary

Apparatus, methods, and computer program products for outputting a technology operations incident event response interface component for rendering to a technology operations incident event response interface. A method may include identifying a technology operations incident event, filtering a plurality of development resource reference unit embedding vectors, generating a candidate development resource reference unit structure, generating a candidate technology operations incident responsive direction, generating a technology operations incident event response interface component, and outputting the technology operations incident event response interface component.