Coverage Results
This result appears above the form after calculation, as requested.
Detailed Metrics
Interpretation
Coverage Inputs
Use the responsive input grid below. Large screens show three columns, smaller screens two, and mobile one.
Coverage Visualization
The Plotly graph updates after each calculation.
Example Data Table
| Module | Total Lines | Executed Lines | Branch Coverage | Function Coverage | Risk Level |
|---|---|---|---|---|---|
| Authentication Service | 540 | 515 | 91.20% | 96.00% | High |
| Billing Engine | 690 | 590 | 74.50% | 88.90% | High |
| Reporting Module | 480 | 432 | 79.10% | 84.60% | Medium |
| Notification Queue | 360 | 335 | 81.70% | 90.00% | Medium |
| API Gateway | 430 | 358 | 70.80% | 82.50% | High |
Formula Used
Line Coverage (%) = (Executed Lines ÷ Total Lines) × 100
Statement Coverage (%) = (Executed Statements ÷ Total Statements) × 100
Branch Coverage (%) = (Covered Branches ÷ Total Branches) × 100
Function Coverage (%) = (Covered Functions ÷ Total Functions) × 100
Condition Coverage (%) = (Covered Conditions ÷ Total Conditions) × 100
Test Pass Rate (%) = (Passed Tests ÷ Automated Tests Run) × 100
Critical Module Coverage (%) = (Fully Covered Critical Modules ÷ Critical Modules) × 100
Weighted Overall Coverage (%) = Σ(Metric Coverage × Weight) ÷ Σ(Weights)
Coverage Gap (%) = max(Target − Weighted Overall Coverage, 0)
Release Confidence Score (%) = (0.65 × Overall Coverage) + (0.20 × Test Pass Rate) + (0.15 × Critical Module Coverage)
How to Use This Calculator
- Enter totals and covered counts for lines, statements, branches, functions, and conditions.
- Add test execution totals and the number of passed tests.
- Enter how many critical modules exist and how many are fully covered.
- Set your target percentage and adjust weights to reflect engineering priorities.
- Click Calculate Coverage to show results above the form.
- Review the weighted score, target gap, lowest metric, and release confidence.
- Use the CSV or PDF buttons to export your results for reporting.
- Study the chart to compare each metric with your target line.
FAQs
1. What does code coverage actually measure?
Code coverage measures how much of your code executes during testing. It can track lines, branches, statements, functions, and conditions, depending on the tool and method you use.
2. Is higher coverage always better?
Higher coverage helps, but it is not enough alone. Poor assertions can still miss defects. Strong coverage works best when combined with meaningful tests and good risk-based test design.
3. Why is branch coverage important?
Branch coverage checks both decision outcomes, not just executed lines. It often reveals hidden paths that line coverage alone can miss, especially inside conditional logic and error handling blocks.
4. What is a reasonable target percentage?
Many teams target 75% to 90%, but the right number depends on system risk, code complexity, and compliance needs. Critical modules usually deserve stricter thresholds than low-risk utilities.
5. Why use weighted overall coverage?
Weighted scoring lets you value metrics differently. For example, branch and condition coverage may matter more in safety-sensitive logic, while function coverage may be enough for simpler modules.
6. Can this calculator support release decisions?
Yes, as a decision aid. It highlights coverage gaps, weak metrics, and test stability. Still, release approval should also consider defects, performance, security findings, and business risk.
7. What if one covered value exceeds its total?
That indicates invalid input. The calculator blocks the result and asks you to correct the numbers, because coverage values cannot logically exceed the totals they reference.
8. Does 100% coverage guarantee zero bugs?
No. Full coverage only means the measured code executed. It does not guarantee correct behavior, useful assertions, complete data variation, or absence of integration and environment defects.