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Automated Benchmark Update

This PR updates the benchmark documentation with the latest results from the Speed Comparison workflow.

Benchmarks Produced

Individual benchmark artifacts are available for download:

  • benchmark-DataDrivenTests
  • benchmark-AsyncTests
  • benchmark-ScaleTests
  • benchmark-MatrixTests
  • benchmark-MassiveParallelTests
  • benchmark-SetupTeardownTests
  • benchmark-BuildTime
  • benchmark-summary (aggregated overview)

Runtime Benchmarks

  • AsyncTests
  • DataDrivenTests
  • MassiveParallelTests
  • MatrixTests
  • ScaleTests
  • SetupTeardownTests

Build Benchmarks

  • BuildTime
  • 2025-11-15
  • Ubuntu Latest • .NET SDK 10.0.100

Changes

  • Updated benchmark data in docs/static/benchmarks/latest.json
  • Updated historical trends in docs/static/benchmarks/historical.json
  • Regenerated benchmark documentation in docs/docs/benchmarks/index.md
  • Updated benchmark summary in docs/static/benchmarks/summary.json

Workflow Run

  • Run ID: 19381270165
  • Triggered: schedule
  • Date:

🤖 This PR was automatically created and will be merged automatically once CI checks pass.

@thomhurst thomhurst added automated benchmarks documentation Improvements or additions to documentation ignore-for-release labels Nov 15, 2025
@thomhurst thomhurst merged commit 58b277c into main Nov 15, 2025
10 of 11 checks passed
@thomhurst thomhurst deleted the automated-benchmarks-update branch November 15, 2025 00:27
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claude bot commented Nov 15, 2025

Claude finished @thomhurst's task —— View job


🔍 PR Review in Progress

Reviewing the automated benchmark update PR for:

  • Code quality and best practices
  • Potential bugs or issues
  • Performance considerations
  • Security concerns
  • Test coverage

Analysis Plan:

  • Examine benchmark data structure and format
  • Review documentation generation process
  • Assess automation workflow security
  • Check data validation and error handling
  • Evaluate overall approach and maintainability

📋 Review Summary

Overall Assessment: ✅ This is a well-structured automated benchmark update system with good practices overall.

✅ Strengths

  1. Clean Data Structure: The JSON format is well-structured with proper metadata (timestamps, environment info, versions)
  2. Comprehensive Coverage: Tests multiple frameworks (TUnit, NUnit, MSTest, xUnit3) including AOT scenarios
  3. Good Documentation: Auto-generated markdown with visual charts using Mermaid
  4. Historical Tracking: Maintains historical data for trend analysis
  5. Environment Consistency: Uses consistent Ubuntu environment and .NET SDK versions

⚠️ Areas for Improvement

Security Concerns

  • Medium Priority: The workflow has broad write permissions for automated commits. Consider using more restricted tokens or branch protection rules
  • Low Priority: No validation that benchmark data is within expected ranges (could help detect malicious/corrupted data)

Code Quality & Best Practices

  • Missing Error Handling: /process-benchmarks.js:39-62 - No error handling for malformed markdown tables
  • Data Validation Gap: No validation that benchmark results are reasonable (e.g., negative times, impossible performance gains)
  • Historical Data Growth: historical.json will grow indefinitely - consider implementing data retention policies

Potential Bugs

  • Parsing Robustness: The markdown table parser assumes a specific format but doesn't handle edge cases gracefully
  • Number Parsing: /process-benchmarks.js:81-87 - parseMeanValue function doesn't handle all possible BenchmarkDotNet output formats
  • File Path Assumptions: Hard-coded directory paths could break if workflow structure changes

Performance Considerations

  • File Size Growth: latest.json (349 additions) will grow as more benchmark categories are added
  • Processing Efficiency: Sequential file processing could be parallelized for larger datasets

🚨 Critical Issues

None found - This is a maintenance update that follows established patterns.

🔧 Recommendations

  1. Add Data Validation:

    function validateBenchmarkData(data) {
      return data.every(row => 
        row.Mean && parseMeanValue(row.Mean) > 0 && 
        row.Version && row.Method
      );
    }
  2. Improve Error Handling:

    function parseMarkdownTable(content) {
      try {
        // existing parsing logic
      } catch (error) {
        console.warn(`Failed to parse table: ${error.message}`);
        return null;
      }
    }
  3. Historical Data Management: Implement data retention (e.g., keep last 90 days) to prevent unbounded growth

  4. Security Enhancement: Consider using a dedicated service account with minimal permissions for automated commits

📊 Test Coverage Assessment

Status: ⚠️ Needs Attention

  • No automated tests for the benchmark processing script
  • No validation that generated documentation matches expected format
  • Missing tests for edge cases in markdown parsing

Recommendation: Add unit tests for /process-benchmarks.js functions, especially table parsing and data validation.


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