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Description
Overview
This issue proposes the development of a comprehensive, data-driven testing and quality assurance infrastructure for FEAScript-core, focused on scientific computing reliability, performance, and maintainability.
Goals
- Implement automated performance benchmarking with systematic data collection
- Establish regression testing pipelines with numerical result validation
- Design and integrate memory usage monitoring and reporting systems
- Develop continuous integration analytics for tracking code quality and test coverage
Proposed Tasks
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Performance Benchmarking
- Create benchmarks for solvers, mesh generators, and visualization routines
- Collect and store performance metrics (e.g., runtime, peak memory usage, result accuracy)
- Automate benchmark runs in CI
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Regression Testing
- Setup test suites for key algorithms (e.g., solvers, mesh importers)
- Validate numerical results against known benchmarks and previous releases
- Report and visualize regression trends in CI
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Memory Usage Monitoring
- Integrate lightweight memory profiling tools for both CPU and WebGPU workflows
- Store historical memory metrics for large mesh runs
- Alert on excessive memory growth or leaks
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Continuous Integration Data Analytics
- Collect and visualize code coverage, test pass rates, and performance trends
- Integrate analytics dashboards (e.g., with GitHub Actions, Codecov)
- Use data insights to guide future development and refactoring
Impact
This initiative will greatly improve the reliability, efficiency, and scalability of FEAScript-core, helping contributors maintain high scientific and technical standards as the project evolves.
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enhancementNew feature or requestNew feature or requesthelp wantedExtra attention is neededExtra attention is needed