Dynamic Test Rerun System for High Concurrency Stability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing application development practices face instability in test executions due to high concurrency, leading to inconsistent results and inefficient resource utilization, as unstable tests are either ignored or rerun a fixed number of times, potentially integrating poor quality code or wasting computing resources.
Innovation Solution
Implement a system that dynamically determines the number of reruns for failed test executions based on captured data, distinguishing between real application failures and test instability, and automatically reruns tests until they pass, tailored to individual tests, test owners, or committers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If tests are rerun a fixed number of times for each failure, then test stability is improved, but computing resources are wasted and development efficiency deteriorates
Solution Approach 1:
The patent implements dynamic test rerun determination by analyzing test execution data, error patterns, and historical performance to adaptively decide whether and how many times to rerun failed tests. This replaces fixed rerun counts with a dynamic system that adjusts rerun behavior based on actual test conditions, resolving the contradiction between maintaining test stability and preserving development efficiency.
Solution Approach 2:
The system changes the parameter of rerun count from a static fixed value to a dynamic variable determined by multiple factors including test execution metrics, error analysis, and historical data. This parameter transformation allows the system to optimize between reliability and productivity by adjusting rerun behavior according to specific test conditions rather than applying a uniform fixed approach.
2Productivity
If unstable tests are ignored, then development speed is improved, but code quality deteriorates
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors test execution results, analyzes failure patterns, and uses this information to make informed decisions about test reruns. The system provides feedback loops that evaluate whether tests represent genuine failures or instability, allowing development to proceed while maintaining code quality through intelligent differentiation between test types.
Solution Approach 2:
The system segments tests into different categories based on their failure characteristics, distinguishing between tests that indicate real application failures and those that exhibit instability. This segmentation allows the system to handle different test types differently - pursuing rapid development for stable tests while applying additional verification for tests indicating genuine issues, thus resolving the contradiction between speed and quality.
3Loss of energy
If tests are rerun dynamically based on captured data, then resource utilization is improved, but system complexity increases
Solution Approach 1:
The patent implements a self-service system where the test execution framework automatically captures data, analyzes failure patterns, determines rerun necessity, and executes reruns without external intervention. The system serves itself by using its own execution data to make intelligent decisions, reducing the need for complex external control mechanisms while improving resource utilization through automated adaptive behavior.
Data Source
AI summary
Example implementations relate to automatically rerunning test executions. Some implementations may capture data during executions of a test. The data may include test status data, test rerun data, test owner data, and/or code committer data. Some implementations may also dynamically determine, for a failed execution of the test, a number of reruns to execute based on the captured data. Additionally, some implementations may cause in response to the dynamic determination, automatic rerun executions of the test until one of the rerun executions passes, the rerun executions being performed up to the number of times.