Metadata-Driven Test Selection for CI Build Optimization
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Solution Overview
Problem
In continuous integration environments, the increasing volume of tests during frequent builds in large software development projects hinders quick turnaround times, as all tests are typically executed, even though only a subset may be affected by code changes, leading to inefficient resource utilization and delayed detection of regressions.
Innovation Solution
A method and system that select a subset of tests to run based on metadata and user-defined rules, leveraging a rule-based system to prioritize and rationalize test execution, focusing on impacted areas and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all tests are executed during each build cycle, then test coverage is comprehensive, but build time and resource utilization deteriorate
Solution Approach 1:
The test suite is segmented into multiple test cases, each associated with metadata indicating the software component it tests. The build system segments the execution by selecting only those test cases whose metadata matches the changed components, rather than executing the entire test suite. This segmentation allows comprehensive testing of affected areas while avoiding unnecessary execution of unrelated tests.
Solution Approach 2:
The system applies local quality by tailoring the test execution strategy to the specific changes made in each build. Instead of uniform execution of all tests, the system selectively executes only the relevant subset of tests based on the relationship between changed components and test metadata. This localized approach ensures adequate test coverage for affected areas while reducing overall build time.
2Reliability
If all tests are executed during each build cycle, then regression detection is thorough, but resource utilization deteriorates
Solution Approach 1:
The test suite is segmented into multiple test cases, each associated with metadata indicating the software component it tests. The build system segments the execution by selecting only those test cases whose metadata matches the changed components, rather than executing the entire test suite. This segmentation allows comprehensive testing of affected areas while avoiding unnecessary execution of unrelated tests.
Solution Approach 2:
The system performs partial action by executing only the necessary subset of tests required to detect regressions in changed components, rather than executing the full test suite. The metadata-driven selection ensures that the partial execution still achieves thorough regression detection for affected areas, eliminating waste of computational resources on unrelated tests.
3Loss of time
If frequent builds are performed, then early feedback is provided, but test execution volume increases
Solution Approach 1:
The test suite is segmented into multiple test cases, each associated with metadata indicating the software component it tests. The build system segments the execution by selecting only those test cases whose metadata matches the changed components, rather than executing the entire test suite. This segmentation allows comprehensive testing of affected areas while avoiding unnecessary execution of unrelated tests.
Solution Approach 2:
The system performs partial action by executing only the necessary subset of tests required to detect regressions in changed components, rather than executing the full test suite. The metadata-driven selection ensures that the partial execution still achieves thorough regression detection for affected areas, eliminating waste of computational resources on unrelated tests.
Data Source
AI summary
In a method for selecting one or more tests for a compiled software module, a processor detects that one or more changes have been made to source code for a software module. A processor compiles the source code for the software module. A processor accesses a set of tests for the software module. A processor accesses metadata for each test of the set of tests. A processor receives a first set of one or more rules describing logical conditions relative to the metadata for the tests. A processor selects at least one test from the set of tests whose metadata corresponds to the received first set of one or more rules.