Section-by-Section AI Test Strategy Generation for Consistent QA

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Solution Overview

Problem

Manual test case generation in software development is inefficient, time-consuming, and prone to errors, struggling to keep pace with rapid development cycles, leading to delays and inconsistent quality assurance.

Innovation Solution

Utilizing large language models (LLMs) trained on product documentation and legacy test strategies to automatically generate comprehensive test strategies and scripts, reducing manual effort and enhancing efficiency and accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual test case generation is used, then quality engineers can define and execute tests with variety of combinations to cover different use case scenarios, but the process is time-consuming and inefficient

Engineering Contradiction:

Improvequality assuranceVSAvoidtest generation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical process of test case generation with an AI-based automated system. The AI model analyzes technical documentation, user stories, and acceptance criteria to automatically generate comprehensive test cases, eliminating the need for manual effort while maintaining or improving test coverage quality.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service test generation where the AI model autonomously creates test cases from available project artifacts without requiring quality engineers to manually define each test scenario. The system serves itself by automatically analyzing requirements and generating appropriate test cases based on learned patterns from historical data.

Inventive Principle:

Principle #25Self-service

2Reliability

If comprehensive test coverage is achieved through manual generation, then all use case scenarios are covered, but resource consumption increases

Engineering Contradiction:

Improvetest coverageVSAvoidresources

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent substitutes manual quality engineer resources with an AI-based automated system that generates comprehensive test cases. This replacement maintains thorough test coverage across all use case scenarios while significantly reducing human resource consumption and enabling faster test generation cycles.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If test strategies are generated manually, then customization to specific project needs is possible, but consistency and standardization are difficult to maintain

Engineering Contradiction:

Improvetest strategy customizationVSAvoidtest strategy consistency

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The patent replaces manual test strategy creation with an AI system that ensures consistent application of testing standards and best practices across all projects. The AI model is trained on historical test data and organizational standards, automatically generating standardized yet project-specific test strategies that maintain consistency while adapting to unique project requirements.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system dynamically adjusts test strategy parameters based on project-specific inputs such as technology stack, project size, and risk factors. By changing these parameters automatically, the AI generates customized test strategies that maintain organizational standards while adapting to specific project needs, ensuring both consistency and versatility.

Inventive Principle:

Principle #35Parameter changes

4Speed

If rapid development cycles are maintained, then product delivery speed is high, but manual testing cannot keep pace leading to delays

Engineering Contradiction:

Improvedevelopment cycle speedVSAvoidtesting throughput

Core Design Contradiction:

SpeedVSProductivity

Solution Approach 1:

The patent replaces manual testing processes with automated AI-based test generation and execution systems. This substitution enables testing throughput to match or exceed development cycle speeds, eliminating the bottleneck that previously caused delays and allowing rapid continuous delivery without compromising quality assurance.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250217258A1Ai-driven section-by-section test strategy generation

Publication Date: 2025.07.03 SAP SE

AI summary

Methods, systems, and apparatus, including medium-encoded computer program products for executing a test strategy, include: receiving a request to generate a test strategy for a new feature of a software solution; consecutively generating one or more sections defined at a test strategy template for the test strategy, wherein consecutively generating the one or more sections comprises: invoking, for each section, a large language model in a conversational mode for generating test strategy data for each section of the test strategy template; generating a specification of the test strategy by concatenating the sections defined in the test strategy template; and executing the generated test strategy for the new feature of the software solution to obtain output data, the output data including monitoring data for performance of the new features, wherein the performance is determined based on criteria of the generated test strategy.