Software Stability Index for Integration Testing
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Solution Overview
Problem
Software components may pass individual tests but fail when integrated with others due to incompatibility, leading to complex and unpredictable software development and deployment issues.
Innovation Solution
A method and system that deploy source code to a non-production instance, execute tests, log events, calculate a stability index based on test log data, and deploy to production only if the index meets a threshold, ensuring compatibility and reducing integration failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software components are tested individually, then testing time and resources are reduced, but integration failures occur due to incompatibility with other components
Solution Approach 1:
The patent applies preliminary action by performing integration testing in a non-production environment before actual deployment. The system calculates a stability index based on test results from the non-production instance, ensuring that integration issues are detected and resolved before the software is released to production, thus preventing integration failures while maintaining testing efficiency.
2Reliability
If comprehensive integration testing is performed, then software reliability is improved, but testing time and computational resources increase
Solution Approach 1:
The patent introduces an intermediary approach by using a non-production instance as a testing platform. This intermediary environment allows comprehensive integration testing to be performed without affecting production systems, enabling thorough reliability validation while avoiding time losses associated with production downtime or rollback procedures.
Solution Approach 2:
The patent replaces manual integration testing processes with an automated stability index calculation system. The system automatically executes tests, collects results, and computes stability metrics, substituting mechanical manual testing with an automated computational system that reduces testing duration while maintaining comprehensive validation.
3Productivity
If source code is deployed to production without stability assessment, then deployment speed is increased, but integration failures and system instability increase
Solution Approach 1:
The patent applies preliminary action by calculating the stability index in advance before production deployment. The system performs stability assessment in the non-production environment and uses the resulting stability index to inform deployment decisions, ensuring that only stable code reaches production while maintaining rapid deployment through automation.
4Reliability
If manual stability assessment is performed, then deployment decisions are more controlled, but the complexity of the deployment process increases
Solution Approach 1:
The patent replaces manual stability assessment processes with an automated stability index calculation system. The system automatically executes tests, collects performance data, and computes stability metrics, substituting complex manual assessment procedures with an automated computational system that maintains deployment control while reducing process complexity.
Data Source
AI summary
A method is provided, comprising: deploying source code to a non-production instance of a software application; executing one or more tests on the non-production instance of the software application and logging any events that are generated during the tests in one or more test logs; retrieving data from the one or more test logs and calculating a stability index for the source code based on the data that is retrieved from the one or more test logs; and deploying the source code to a production-instance of the software application based on the stability index of the source code.


