Orchestration System for Automated Software Testing
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Solution Overview
Problem
Software testing is often manual and labor-intensive, requiring significant time and effort, and involves using multiple tools that complicate the testing cycle and lead to inconsistencies and delays in software availability.
Innovation Solution
A system and method for orchestrating automatic software testing by providing an interface to multiple testing tools, automating the design and execution of tests, and using machine learning to predict and map tests to scenarios, thereby reducing manual work and streamlining the testing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual testing is used to ensure quality assurance, then testing thoroughness can be maintained, but time consumption and labor effort increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating test cases and test scripts before manual execution. The orchestration platform analyzes software project information, identifies features, and creates comprehensive test scenarios in advance, reducing the time required during actual testing while maintaining thoroughness.
Solution Approach 2:
The patent introduces an orchestration platform as an intermediary between multiple testing tools and the software project. This mediator automates the coordination of test generation, execution, and analysis across different tools, reducing manual effort while preserving testing completeness through systematic orchestration.
2Adaptability or versatility
If multiple different testing tools are used for different testing tasks, then testing capabilities are enhanced, but system complexity and manual coordination effort increase
Solution Approach 1:
The orchestration platform serves as a universal system that can interface with and coordinate multiple different testing tools through a unified interface. It performs multiple functions including test case generation, script creation, test execution coordination, and result analysis across various tools, reducing the need for separate manual coordination processes for each tool.
Solution Approach 2:
The patent introduces an orchestration platform as an intermediary between multiple testing tools and the software project. This mediator automates the coordination of test generation, execution, and analysis across different tools, reducing manual effort while preserving testing completeness through systematic orchestration.
3Adaptability or versatility
If manual correlation between inputs and outputs of various testing tools is used, then flexibility in tool selection is maintained, but automation level and testing efficiency decrease
Solution Approach 1:
The orchestration platform acts as an intelligent intermediary that automatically correlates inputs and outputs between multiple testing tools. It uses machine learning models to understand relationships between test cases, test scripts, and test results across different tools, enabling automated coordination while maintaining the ability to work with diverse tool selections.
Solution Approach 2:
The system implements feedback mechanisms where test results from one tool automatically inform and adjust test cases in other tools. The orchestration platform continuously learns from test outcomes and automatically refines test scenarios, creating a closed-loop automated testing process that maintains flexibility while increasing automation level.
Data Source
AI summary
As described herein, a system, method, and computer program are provided for orchestrating automatic software testing. In use, an interface to a plurality of different testing tools is provided, where each testing tool of the plurality of different testing tools usable for performing one or more testing-related tasks. Additionally, information describing a software project is identified. Further, use of the plurality of different testing tools is orchestrated to provide automated testing for the software project.


