Real-Time Data Mapping for Representative Load Test Scenarios
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Solution Overview
Problem
Existing load tests for software applications often fail to accurately represent real-world environments, leading to missed identification of potential issues until the software is deployed in actual use.
Innovation Solution
Automate load testing by mapping real-time data from a real-world environment to test scripts, using machine learning to dynamically adjust test parameters based on actual user behavior and system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If test engineers manually specify load test parameters, then the test configuration process is simple and quick, but the test accuracy and representativeness of real-world environment deteriorate
Solution Approach 1:
The patent copies real-world environment data (user behavior patterns, system performance metrics, operational parameters) from production systems and uses them to configure load tests. This ensures test accuracy while maintaining automation, resolving the contradiction between manual configuration simplicity and test representativeness
Solution Approach 2:
The system continuously monitors real-world system performance and user behavior, then feeds this information back to automatically adjust and optimize load test parameters. This creates a closed-loop system that maintains high test accuracy without requiring complex manual intervention
2Ease of operation
If test engineers select load test features, then the testing process is controllable and manageable, but the ability to identify real-world problems deteriorates
Solution Approach 1:
The system enables self-service automation where the load test configuration process serves itself by automatically extracting parameters from real-world data, selecting appropriate test scenarios, and optimizing test parameters without requiring expert manual intervention. This maintains controllability through automation while dramatically improving problem identification capability
Solution Approach 2:
The system performs preliminary analysis of real-world operational data before executing load tests, pre-configuring test parameters based on actual usage patterns. This preliminary action ensures that the tests are already optimized for real-world representativeness before they run, improving reliability without sacrificing operational control
3Stability of the object's composition
If static load test parameters are used, then the test execution is straightforward and consistent, but the adaptability to real-world dynamics deteriorates
Solution Approach 1:
The patent transforms static load test parameters into dynamic ones by continuously adjusting test configurations based on real-time monitoring of production system behavior. The system maintains execution consistency through automated control while adapting parameters to reflect real-world dynamics, resolving the contradiction between stability and adaptability
Data Source
AI summary
Input data is received from an analysis of an application running in a real-world environment. The input data identifies one or more parameters that are associated with one or more test scripts that are used to test a new version of the application running in the real-world environment. One or more inputs are received that map the received input data to the one or more test scripts. The one or more test scripts are used to test the new version of the application. The one or more tests scripts are executed against the new version of the application based on the one or more parameters.