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TechnologyGenerated accuracy model review: 2026-05-06
Firewall Rule Capacity Planner accuracy and testing
This page documents how Calwarden builds trust for this calculator: source notes, regression-style default tests, limitations, assumptions, unit handling, rounding, and visible change history.
Formula source
- Rule headroom = threshold rules - current rules. Months to threshold = headroom / monthly net growth.
Test cases
Default input regression check
Generated from the checked-in default inputs and calculate function.
Inputs
- Current Rules: 3,200
- Platform Rule Limit: 5,000
- Warning Threshold: 80%
- Rules Added Monthly: 180
- Rules Removed Monthly: 60
Expected outputs
- Months to Threshold: 6.67 months
- Rule Headroom: 800
- Threshold Rule Count: 4,000
- Net Monthly Growth: 120
Known limitations
- This page documents the checked-in calculator logic and does not certify results for every real-world edge case.
- Use the result as a planning estimate unless the calculator page states a stricter purpose.
Assumptions
- Inputs are user-entered because pricing, deadlines, policies, and technical limits vary.
- Calculations run locally in your browser and do not store passwords, incidents, network designs, or security program data.
- This is planning math, not security assurance, legal advice, or a substitute for testing.
Unit handling
- Current Rules accepts numeric values.
- Platform Rule Limit accepts numeric values.
- Warning Threshold accepts values in %.
- Rules Added Monthly accepts numeric values.
- Rules Removed Monthly accepts numeric values.
- Months to Threshold is displayed in months.
Rounding rules
- Number displays use up to 2 decimal places in the calculator UI.
- Input precision follows configured step values where provided.
Version history
1.0.0 - 2026-05-06
Generated accuracy and testing page from the current firewall-rule-capacity-planner calculator definition.
Change log
2026-05-06
Published default regression test documentation and metadata fallbacks for Firewall Rule Capacity Planner.
Calculator transparency
Accuracy pages are generated from checked-in calculator definitions and can be upgraded with curated review metadata over time.