Interaction Vector Generation for Component Dependency Graphs

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional systems struggle with efficiently and reliably managing complex multi-component systems, particularly in cloud application frameworks, due to the large number of components and dispersed data, lacking an opinionated data-model and automation, leading to inefficient manual processing and scalability issues.

Innovation Solution

A component management system that provides interaction vectors through a centralized database, utilizing APIs for data synchronization, scorecards for incident management, and a user interface for visualization, enabling efficient tracking of component dependencies and metadata, and facilitating remote collaboration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional systems are used to manage multi-component systems, then manual processing can be performed, but efficiency and scalability deteriorate due to the large number of components and dispersed data

Engineering Contradiction:
Improvemanagement efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces interaction vectors as intermediary data structures that mediate between components and their dependencies. These vectors serve as a standardized interface for representing and managing component relationships, enabling automated processing while maintaining system complexity through structured abstraction. The interaction vectors act as a mediator layer that simplifies the management of dispersed data across multiple components.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transforms component dependency relationships into parameterized interaction vectors with standardized fields and attributes. By changing the representation parameters from dispersed raw data to structured vector formats, the system enables efficient automated processing while maintaining the ability to represent complex multi-component relationships through controlled parameter variations.

Inventive Principle:
Principle #35Parameter changes

2Manufacturing precision

If manual processing is used for component data, then flexibility can be maintained, but data quality and metadata accuracy deteriorate

Engineering Contradiction:
Improvemetadata qualityVSAvoidprocessing time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system enables automated self-service processing where interaction vectors automatically traverse component dependency work graphs and retrieve metadata without manual intervention. The standardized vector structures self-validate and self-populate with component data, improving metadata quality through consistent automated processing while reducing the time loss associated with manual data collection and verification.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements feedback mechanisms where interaction vectors continuously traverse and update component dependency relationships. The system automatically retrieves metadata, validates data quality, and updates interaction vectors based on current system state, creating a self-correcting feedback loop that maintains high metadata accuracy while eliminating manual processing delays.

Inventive Principle:
Principle #23Feedback

3Speed

If dispersed data is managed without a centralized model, then system flexibility can be maintained, but information access speed and understanding of dependencies deteriorate

Engineering Contradiction:
Improveinformation access speedVSAvoiddata organization complexity
Core Design Contradiction:
SpeedVSDevice complexity

Solution Approach 1:

The patent creates a universal interaction vector data structure that serves multiple functions simultaneously: representing component relationships, storing metadata, enabling automated traversal, and facilitating rapid information access. This multi-functional standardized model unifies dispersed data management while maintaining system flexibility, allowing the same vector structure to handle various dependency scenarios without increasing organizational complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250272336A1Apparatuses, methods, and computer program products for generating interaction vectors within a multi-component system
Publication Date: 2025.08.28 ATLASSIAN US INC
  • US20250272336A1 patent drawing
  • US20250272336A1 patent drawing
  • US20250272336A1 patent drawing

AI summary

Methods, apparatuses, or computer program products provide for providing interaction vectors related to a component management system. An interaction vector data structure request for a component management system may be received from a client device. The interaction vector data structure request may include one or more interaction vector identifiers and one or more component identifiers. Additionally, metadata associated with the one or more component identifiers may be retrieved. The metadata may include respective component object identifiers for the one or more component identifiers. A component dependency work graph structure may be traversed based on the respective component object identifiers to generate one or more interaction vector data structures based on one or more dependencies between component object data associated with the respective component object identifiers. Furthermore, one or more interaction vector interface elements representative of the one or more interaction vector data structures may be transmitted to the client device.