Performance comparison: Increment method vs anonymous lambda functions

[konard]

Summary

Comprehensive performance analysis comparing Platform.Incrementers.Incrementer.Increment() method against anonymous lambda functions with counters, addressing issue #11.

Key Findings

• Anonymous lambda functions are 1.26x faster than the Increment() method
• Direct field increment provides optimal performance (baseline)
• Method call overhead in Increment() introduces measurable performance cost
• Caching lambda expressions improves performance over recreating them repeatedly

Performance Results (1M operations, 10-run average)

Method	Avg Time (ms)	Performance vs Increment()
Direct Field Increment	0.00	🏆 Optimal (baseline)
Direct Anonymous Lambda	2.80	1.57x faster
Anonymous Lambda (Cached)	3.50	1.26x faster
Incrementer.Increment()	4.40	Baseline comparison

Implementation Added

• ✅ Custom performance benchmarking framework
• ✅ Statistical analysis with multiple test runs
• ✅ BenchmarkDotNet integration for detailed profiling
• ✅ Comprehensive documentation with recommendations
• ✅ Multiple lambda function approaches tested

Test Environment

• .NET 8.0 Release configuration
• 1,000,000 operations per test
• 10 runs for statistical accuracy
• Standard deviation analysis included

Files Added

• experiments/PERFORMANCE_ANALYSIS.md - Detailed analysis and recommendations
• experiments/PerformanceAnalysis.cs - Statistical benchmark runner
• experiments/SimpleBenchmark.cs - Basic performance comparison
• Raw benchmark data and BenchmarkDotNet results

Conclusion

While anonymous lambda functions demonstrate superior raw performance, the choice should consider performance requirements, code maintainability, and abstraction needs. The Incrementer class provides valuable abstraction and should be preferred unless performance profiling indicates it's a bottleneck.

🤖 Generated with Claude Code

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Resolves #11