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Build Data-Driven Testing & Quality Assurance Infrastructure #50

@pizofreude

Description

@pizofreude

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

  1. 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
  2. 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
  3. 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
  4. 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 requesthelp wantedExtra attention is needed

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