Continuous Testing System for Dynamic Test Coverage in CI/CD Pipelines
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Solution Overview
Problem
Existing code testing systems struggle to keep pace with the rapid release cycles and dynamic changes inherent in CI/CD environments, leading to inadequate test coverage and difficulty in determining build readiness for production deployment.
Innovation Solution
A system and method for continuous testing that integrates seamlessly with CI/CD systems, providing real-time analysis of build quality by detecting code changes, assessing test coverage, and prioritizing tests based on environmental and historical data to ensure comprehensive testing and efficient release processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rapid release cycles are implemented in CI/CD systems, then productivity and speed of delivery are improved, but test coverage and build quality assessment become inadequate and unreliable
Solution Approach 1:
The system dynamically adapts test execution based on code changes. Instead of running all tests statically, it identifies modified components and selectively executes relevant tests, allowing rapid release cycles while maintaining adequate test coverage through dynamic test selection and execution prioritization
Solution Approach 2:
The testing system is segmented into multiple environments (development, staging, production) with different test suites. This allows parallel testing across segments, improving overall test coverage without slowing down the release process, as each segment can be tested independently and concurrently
2Measurement precision
If the number of automated tests is increased to improve test coverage, then measurement precision of build quality is improved, but device complexity and system complexity increase significantly
Solution Approach 1:
The system automatically manages test execution, result collection, and quality assessment without manual intervention. It self-configures test environments, automatically parses test results, and generates quality reports, reducing the operational complexity despite handling large numbers of tests
Solution Approach 2:
The patent introduces an intermediary quality assessment layer that aggregates and analyzes test results from multiple sources and environments. This intermediary system simplifies the complexity by providing a unified quality metric rather than requiring direct management of individual test complexities
3Measurement precision
If dynamic code analysis is implemented to assess build quality in real-time, then measurement precision and reliability are improved, but loss of time for analysis and processing increases
Solution Approach 1:
The system performs preliminary static code analysis during the coding phase to identify potential issues before execution. This preliminary assessment reduces the need for extensive dynamic analysis later, cutting down overall analysis time while maintaining measurement precision through early detection of quality issues
Solution Approach 2:
Instead of continuous real-time analysis, the system performs periodic quality assessments at key milestones in the CI/CD pipeline (e.g., after code commit, before deployment). This periodic approach reduces cumulative analysis time while still providing timely quality feedback at critical decision points
4Reliability
If comprehensive testing across multiple environments is performed, then reliability and build quality are improved, but productivity and release speed decrease
Solution Approach 1:
The system dynamically determines which environments require full testing based on the nature of code changes. For minor changes, it may skip certain environment tests; for critical changes, it executes comprehensive tests. This dynamic approach maintains reliability for necessary tests while improving release speed by avoiding unnecessary testing
Solution Approach 2:
Testing is integrated continuously into the CI/CD pipeline rather than being a separate batch process. Tests execute automatically as part of the continuous integration flow, allowing development and testing to proceed in parallel where possible, thus maintaining productivity while ensuring comprehensive testing across environments
Data Source
AI summary
A system and method for CI/CT/CD, which is continuous integration/continuous testing/continuous delivery, in which testing is fully integrated to the needs of rapid code development and delivery. The system is determining test coverage of a plurality of tests, comprising a code builder for providing code, a code tester for testing the code with said plurality of tests, and a code test analyzer for analyzing results of said plurality of tests to determine coverage of said code by said plurality of tests.