Personalized Software Update Notes for Version Upgrade Adoption

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Solution Overview

Problem

Software providers face inefficiencies and increased risks due to maintaining multiple software product versions, as customers often postpone updates due to unclear benefits and complex release notes, leading to system degradation and security vulnerabilities.

Innovation Solution

A tailored user interface is developed to analyze customer-specific environments, filtering and ranking software product data to highlight relevant benefits and improvements specific to each customer's implementation, using AI models to generate concise and personalized update notifications.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If comprehensive release notes are provided for software updates, then information completeness is improved, but information overload and complexity increase making it difficult for customers to understand benefits

Engineering Contradiction:
Improveinformation completenessVSAvoidrelease notes complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments comprehensive release notes into customized subsets based on customer-specific factors such as current software version, deployment environment, and usage patterns. This allows the system to present only relevant information to each customer, reducing complexity while maintaining information completeness for their specific context.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by tailoring the information presentation to each customer's specific situation. Different customers receive different versions of release notes with varying levels of detail and focus areas based on their unique implementations, ensuring the information is appropriately complex for their needs without overwhelming them.

Inventive Principle:
Principle #3Local quality

2Loss of information

If customers are provided with detailed software update information, then understanding of benefits is improved, but time required to process and understand information increases

Engineering Contradiction:
Improvebenefit understandingVSAvoidinformation processing time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-processing and analyzing customer-specific data before generating release notes. The system proactively identifies which features and improvements are most relevant to each customer based on their current setup, so that when information is presented, it is already filtered and organized in a way that minimizes processing time while maximizing benefit understanding.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If software providers maintain multiple version support, then customer adaptability is improved, but system complexity and maintenance costs increase

Engineering Contradiction:
Improveversion compatibilityVSAvoidversion management complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies universality by creating a single version of release notes that can be dynamically adapted to serve multiple customer scenarios. The system uses one comprehensive information source that can be customized through filtering and ranking mechanisms to address different customer versions and configurations, eliminating the need to maintain separate release notes for each version while still providing targeted information.

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

Data Source

PatentUS20250378484A1Tailoring software product version update information
Publication Date: 2025.12.11 DELL PROD LP
  • US20250378484A1 patent drawing
  • US20250378484A1 patent drawing
  • US20250378484A1 patent drawing

AI summary

Architectures and techniques are described that can personalize, customize, or otherwise tailor a presentation of product version update information in accordance with certain embodiments of this disclosure. Such can be accomplished by comparing software product version data (e.g., release notes, data from a code repository, data from a documentation repository, . . . ) to customer data (e.g., customer equipment, topology, configuration, settings, . . . ). The tailored output can be tailored to a specific customer, a specific role within the customer organization (e.g., security officer, database administrator, . . . ), or a specific user within the customer organization. The tailored output can be targeted to appeal to a specific audience, increasing the likelihood of prompt acceptance of the new version of the software product.