Final Statistics: By the Numbers
BusinessMath Quarterly Series
8 min read
Part 41 of 12-Week BusinessMath Series
After 12 weeks of building, testing, and documenting BusinessMath, here’s what we shipped—measured, benchmarked, and validated.
Test Coverage
Overall Test Statistics
═══════════════════════════════════════════════════════════ Test Suites: 353 Total Tests: 4,612 Source Files: 375 (production) + 288 (test) Public APIs: 4,712 (100% documented) ═══════════════════════════════════════════════════════════ Tests by Module
| Module | Tests |
|---|---|
| Financial Statements | 859 |
| Monte Carlo & Simulation | 715 |
| Statistical Analysis | 706 |
| Portfolio & Optimization | 652 |
| Time Series | 559 |
| Securities & Valuation | 305 |
| Time Value of Money | 262 |
| Result Builders / Fluent API | 228 |
| Data Structures | 134 |
| Streaming | 80 |
| Async | 49 |
Edge Case Coverage
Validated against:- Zero cash flows
- Single-period calculations
- Negative interest rates
- Empty time series
- Degenerate matrices
- Ill-conditioned problems
- Integer overflow scenarios
- Floating-point precision limits
Performance Benchmarks
Time Value of Money (10,000 iterations)
| Function | Time (ms) | Ops/sec |
|---|---|---|
npv (10 periods) |
120 | 83,333 |
irr (10 periods) |
450 | 22,222 |
xnpv (irregular) |
280 | 35,714 |
mirr (modified) |
380 | 26,316 |
Portfolio Optimization (100 assets)
| Method | Time (s) | Quality Score |
|---|---|---|
| Gradient Descent | 2.8 | 0.0245 |
| BFGS | 4.2 | 0.0238 |
| L-BFGS | 2.1 | 0.0239 |
| Genetic Algorithm (CPU) | 12.5 | 0.0229 |
| Genetic Algorithm (GPU) | 1.8 | 0.0229 |
| Simulated Annealing | 8.9 | 0.0232 |
| Particle Swarm | 6.3 | 0.0230 |
- 1,000 population: 3× faster
- 10,000 population: 25× faster
- 100,000 population: 80× faster
Monte Carlo Simulation (10,000 iterations)
| Scenario | Time (s) | Rate (iter/s) |
|---|---|---|
| Single asset | 0.82 | 12,195 |
| Portfolio (10 assets) | 2.34 | 4,274 |
| Portfolio (50 assets) | 8.12 | 1,232 |
| With correlations | 11.3 | 885 |
Statistical Operations (1,000,000 data points)
| Operation | Time (ms) |
|---|---|
| Mean | 12 |
| Median | 185 |
| Standard Deviation | 18 |
| Percentile (any) | 192 |
| Correlation Matrix (100×100) | 450 |
Code Metrics
Lines of Code
═══════════════════════════════════════════════════════════ Production Code: 107,801 lines Test Code: 115,036 lines Documentation: 48,490 lines Total: 271,327 lines ═══════════════════════════════════════════════════════════ Module Breakdown
| Component | LOC | Files | Public APIs |
|---|---|---|---|
| Optimization | 28,291 | 64 | 1,107 |
| Financial Statements | 15,000 | 27 | 692 |
| Simulation | 8,779 | 38 | 360 |
| Statistics | 8,224 | 110 | 254 |
| Time Series | 7,704 | 16 | 198 |
| Fluent API | 7,680 | 12 | 568 |
| Streaming | 6,405 | 6 | 439 |
| Valuation | 6,167 | 13 | 237 |
| Scenario Analysis | 2,197 | 5 | 60 |
| Operational Drivers | 2,549 | 9 | 79 |
Dependency Graph
External Dependencies: 3swift-numerics(Real protocol, generic math)swift-collections(specialized data structures)swift-crypto(Linux only — CryptoKit built-in on Apple platforms)
Documentation Coverage
DocC Tutorials
═══════════════════════════════════════════════════════════ DocC Articles: 67 Total Lines: 48,490 (lines of documentation) Code Examples: 1,250 Swift code blocks Files with Examples: 65 Case Studies: 6 ═══════════════════════════════════════════════════════════ Tutorial Categories
| Category | Tutorials | Example Code Snippets |
|---|---|---|
| Getting Started | 5 | 28 |
| Time Value of Money | 8 | 42 |
| Financial Analysis | 9 | 56 |
| Financial Modeling | 12 | 98 |
| Simulation | 6 | 35 |
| Optimization | 12 | 128 |
API Reference Coverage
- Public functions: 100% documented
- Public types: 100% documented
- Code examples: 1,250 Swift code blocks across 65 articles
Release Statistics
Version History
| Version | Date | Changes | Breaking | Tests Added |
|---|---|---|---|---|
| 0.1.0 | Oct 2025 | Initial release | N/A | 450 |
| 0.5.0 | Nov 2025 | Financial statements | Yes | 412 |
| 1.0.0 | Dec 2025 | Optimization suite | No | 502 |
| 1.5.0 | Jan 2026 | GPU acceleration | No | 198 |
| 2.0.0-beta.1 | Feb 2026 | Role-based API | Yes | 285 |
| 2.0.0 | Mar 2026 | Stable release | Yes | 1,705 |
Migration Impact (v1.x → v2.0)
Breaking Changes:- Account role architecture (1,200 call sites updated)
- Result builder syntax (85 call sites updated)
- Small projects (<1,000 LOC): 2-4 hours
- Medium projects (1,000-5,000 LOC): 1-2 days
- Large projects (>5,000 LOC): 3-5 days
Performance Regression Testing
Automated Performance Gates
Every commit checks:// NPV must complete in < 1ms let start = Date() let result = npv(discountRate: 0.10, cashFlows: hundredCashFlows) let elapsed = Date().timeIntervalSince(start) XCTAssert(elapsed < 0.001, “NPV performance regression!”) // Portfolio optimization must complete in < 10s let optTime = measureTime { optimizer.minimize(objective, startingAt: initial) } XCTAssert(optTime < 10.0, “Optimization performance regression!”) Community Metrics
Common Feature Requests:- More optimization algorithms (particle swarm, genetic) - ✅ Implemented in v2.0
- GPU acceleration - ✅ Implemented in v1.5
- More distributions for Monte Carlo - ✅ 15 distributions in v1.0
- Better async support - ✅ Implemented in v2.0
- JSON/CSV data ingestion - ✅ Implemented in v2.0
Platform Support
Compatibility Matrix
| Platform | Min Version | Status |
|---|---|---|
| macOS | 14.0 | ✅ Fully supported |
| iOS | 17.0 | ✅ Fully supported |
| tvOS | 17.0 | ✅ Fully supported |
| watchOS | 10.0 | ✅ Fully supported |
| visionOS | 1.0 | ✅ Fully supported |
| Linux | Ubuntu 20.04+ | ✅ Fully supported |
Swift Version
- Minimum: Swift 5.9
- Recommended: Swift 6.0 (strict concurrency)
- Tested: Swift 5.9, 6.0, 6.2.3
The Numbers Tell a Story
What we built:- 271,327 lines of code, tests, and docs
- 4,612 tests across 353 suites
- 4,712 public APIs — 100% documented
- 67 DocC articles with 1,250 code examples
- 6 case studies demonstrating real-world usage
- 6 platforms (macOS, iOS, tvOS, watchOS, visionOS, Linux)
- CPU + GPU architectures
- Scales from 10 variables to 10,000 variables
- 375 source files across 36 modules
- 3 external dependencies (zero circular internal dependencies)
- 478 commits across 70 releases
Tomorrow: Case Study #6: Investment Strategy DSL — the final case study, combining result builders, type safety, and financial modeling into a domain-specific language for investment strategies.
Series: [Week 12 of 12] | Topic: [Reflections] | Case Studies: [5/6 Complete]
Topics Covered: Test statistics • Performance benchmarks • Code metrics • Documentation coverage • Community metrics • Production usage
Final Week: [1 post remaining] • [Final case study tomorrow!]
Tagged with: development-process, performance