Cloud Testing Framework Natural Language Adaptation
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Solution Overview
Problem
Conventional software testing frameworks require programming expertise and are costly due to the need for custom programming languages, making it difficult for non-programmers to create and modify tests, especially when dealing with changes across different software item versions or builds.
Innovation Solution
A testing framework with a persistent framework layer and a dynamic custom action layer that allows users to create and modify tests using natural language, reducing the need for programming knowledge and enabling easy adaptation to changes in software items without recompiling existing code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional software testing frameworks use custom programming languages, then testing automation capability is achieved, but programming expertise is required and cost increases
Solution Approach 1:
The patent introduces a natural language processing intermediary layer that translates human-readable natural language test descriptions into executable test cases. This mediator component allows users to interact with the testing system using natural language instead of programming languages, eliminating the need for programming expertise while maintaining automation capability.
Solution Approach 2:
The patent replaces the mechanical system of programming language syntax and compilation with a natural language processing system. Instead of requiring users to write code in specialized testing languages, the system accepts natural language descriptions and automatically generates and executes test cases, substituting the traditional code-based mechanism with an AI-driven natural language interface.
2Extent of automation
If custom programming languages are used for test creation, then automated testing is enabled, but development cost increases
Solution Approach 1:
The patent employs disposable, pre-configured test templates and natural language processing models that can be rapidly created and discarded. Instead of investing in expensive, custom-built programming language frameworks, the system uses affordable, off-the-shelf natural language processing capabilities that can be quickly deployed and replaced as needed, significantly reducing development costs while maintaining automated testing functionality.
3Reliability
If tests are rewritten for each software item version, then testing accuracy is maintained, but time consumption increases
Solution Approach 1:
The patent implements a dynamic test generation system that automatically adapts test cases to different software item versions through natural language descriptions. Instead of statically rewriting tests for each version, the system dynamically generates appropriate test cases by processing natural language requirements and automatically adjusting to version changes, maintaining testing accuracy while eliminating manual re-writing time.
Solution Approach 2:
The patent performs preliminary natural language processing to create flexible, version-agnostic test templates that can be automatically instantiated for different software versions. By preparing the natural language processing models and test generation rules in advance, the system enables rapid adaptation to new versions without requiring time-consuming manual test re-writing, thus maintaining accuracy while reducing time loss.
Data Source
AI summary
In a method of software item testing, an automated test of a software item is initiated in a cloud-based computing environment in exchange for a fee. The test is part of a testing framework in the cloud-based computing environment. In response to occurrence of an error condition during the test, the test is paused within the cloud-based computing environment. An alteration to the test is accepted while the test is paused. The alteration is accepted via a user interface to the cloud-based computing environment. Testing is continued within the cloud-based computing environment, using altered test.


