13 KiB
Coverage Gap Closure Methodology
Version: 2.0 Source: Bootstrap-002 Test Strategy Development Last Updated: 2025-10-18
This document describes the systematic approach to closing coverage gaps through prioritization, pattern selection, and continuous verification.
Overview
Coverage gap closure is a systematic process for improving test coverage by:
- Identifying functions with low/zero coverage
- Prioritizing based on criticality
- Selecting appropriate test patterns
- Implementing tests efficiently
- Verifying coverage improvements
- Tracking progress
Step-by-Step Gap Closure Process
Step 1: Baseline Coverage Analysis
Generate current coverage report:
go test -coverprofile=coverage.out ./...
go tool cover -func=coverage.out > coverage-baseline.txt
Extract key metrics:
# Overall coverage
go tool cover -func=coverage.out | tail -1
# total: (statements) 72.1%
# Per-package coverage
go tool cover -func=coverage.out | grep "^github.com" | awk '{print $1, $NF}' | sort -t: -k1,1 -k2,2n
Document baseline:
Date: 2025-10-18
Total Coverage: 72.1%
Packages Below Target (<75%):
- internal/query: 65.3%
- internal/analyzer: 68.7%
- cmd/meta-cc: 55.2%
Step 2: Identify Coverage Gaps
Automated approach (recommended):
./scripts/analyze-coverage-gaps.sh coverage.out --top 20 --threshold 70
Manual approach:
# Find zero-coverage functions
go tool cover -func=coverage.out | grep "0.0%" > zero-coverage.txt
# Find low-coverage functions (<60%)
go tool cover -func=coverage.out | awk '$NF+0 < 60.0' > low-coverage.txt
# Group by package
cat zero-coverage.txt | awk -F: '{print $1}' | sort | uniq -c
Output example:
Zero Coverage Functions (42 total):
12 internal/query/filters.go
8 internal/analyzer/patterns.go
6 cmd/meta-cc/server.go
...
Low Coverage Functions (<60%, 23 total):
7 internal/query/executor.go (45-55% coverage)
5 internal/parser/jsonl.go (50-58% coverage)
...
Step 3: Categorize and Prioritize
Categorization criteria:
| Category | Characteristics | Priority |
|---|---|---|
| Error Handling | Validation, error paths, edge cases | P1 |
| Business Logic | Core algorithms, data processing | P2 |
| CLI Handlers | Command execution, flag parsing | P2 |
| Integration | End-to-end flows, handlers | P3 |
| Utilities | Helpers, formatters | P3 |
| Infrastructure | Init, setup, configuration | P4 |
Prioritization algorithm:
For each function with <target coverage:
1. Identify category (error-handling, business-logic, etc.)
2. Assign priority (P1-P4)
3. Estimate time (based on pattern + complexity)
4. Estimate coverage impact (+0.1% to +0.3%)
5. Calculate ROI = impact / time
6. Sort by priority, then ROI
Example prioritized list:
P1 (Critical - Error Handling):
1. ValidateInput (0%) - Error Path + Table → 15 min, +0.25%
2. CheckFormat (25%) - Error Path → 12 min, +0.18%
3. ParseQuery (33%) - Error Path + Table → 15 min, +0.20%
P2 (High - Business Logic):
4. ProcessData (45%) - Table-Driven → 12 min, +0.20%
5. ApplyFilters (52%) - Table-Driven → 10 min, +0.15%
P2 (High - CLI):
6. ExecuteCommand (0%) - CLI Command → 13 min, +0.22%
7. ParseFlags (38%) - Global Flag → 11 min, +0.18%
Step 4: Create Test Plan
For each testing session (target: 2-3 hours):
Plan template:
Session: Validation Error Paths
Date: 2025-10-18
Target: +5% package coverage, +1.5% total coverage
Time Budget: 2 hours (120 min)
Tests Planned:
1. ValidateInput - Error Path + Table (15 min) → +0.25%
2. CheckFormat - Error Path (12 min) → +0.18%
3. ParseQuery - Error Path + Table (15 min) → +0.20%
4. ProcessData - Table-Driven (12 min) → +0.20%
5. ApplyFilters - Table-Driven (10 min) → +0.15%
6. Buffer time: 56 min (for debugging, refactoring)
Expected Outcome:
- 5 new test functions
- Coverage: 72.1% → 73.1% (+1.0%)
Step 5: Implement Tests
For each test in the plan:
Workflow:
# 1. Generate test scaffold
./scripts/generate-test.sh FunctionName --pattern PATTERN
# 2. Fill in test details
vim path/to/test_file.go
# 3. Run test
go test ./package/... -v -run TestFunctionName
# 4. Verify coverage improvement
go test -coverprofile=temp.out ./package/...
go tool cover -func=temp.out | grep FunctionName
Example implementation:
// Generated scaffold
func TestValidateInput_ErrorCases(t *testing.T) {
tests := []struct {
name string
input *Input // TODO: Fill in
wantErr bool
errMsg string
}{
{
name: "nil input",
input: nil, // ← Fill in
wantErr: true,
errMsg: "cannot be nil", // ← Fill in
},
// TODO: Add more cases
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
_, err := ValidateInput(tt.input)
// Assertions...
})
}
}
// After filling TODOs (takes ~10-12 min per test)
Step 6: Verify Coverage Impact
After implementing each test:
# Run new test
go test ./internal/validation/ -v -run TestValidateInput
# Generate coverage for package
go test -coverprofile=new_coverage.out ./internal/validation/
# Compare with baseline
echo "=== Before ==="
go tool cover -func=coverage.out | grep "internal/validation/"
echo "=== After ==="
go tool cover -func=new_coverage.out | grep "internal/validation/"
# Calculate improvement
echo "=== Change ==="
diff <(go tool cover -func=coverage.out | grep ValidateInput) \
<(go tool cover -func=new_coverage.out | grep ValidateInput)
Expected output:
=== Before ===
internal/validation/validate.go:15: ValidateInput 0.0%
=== After ===
internal/validation/validate.go:15: ValidateInput 85.7%
=== Change ===
< internal/validation/validate.go:15: ValidateInput 0.0%
> internal/validation/validate.go:15: ValidateInput 85.7%
Step 7: Track Progress
Per-test tracking:
Test: TestValidateInput_ErrorCases
Time: 12 min (estimated 15 min) → 20% faster
Pattern: Error Path + Table-Driven
Coverage Impact:
- Function: 0% → 85.7% (+85.7%)
- Package: 57.9% → 62.3% (+4.4%)
- Total: 72.1% → 72.3% (+0.2%)
Issues: None
Notes: Table-driven very efficient for error cases
Session summary:
Session: Validation Error Paths
Date: 2025-10-18
Duration: 110 min (planned 120 min)
Tests Completed: 5/5
1. ValidateInput → +0.25% (actual: +0.2%)
2. CheckFormat → +0.18% (actual: +0.15%)
3. ParseQuery → +0.20% (actual: +0.22%)
4. ProcessData → +0.20% (actual: +0.18%)
5. ApplyFilters → +0.15% (actual: +0.12%)
Total Impact:
- Coverage: 72.1% → 72.97% (+0.87%)
- Tests added: 5 test functions, 18 test cases
- Time efficiency: 110 min / 5 tests = 22 min/test (vs 25 min/test ad-hoc)
Lessons:
- Error Path + Table-Driven pattern very effective
- Test generator saved ~40 min total
- Buffer time well-used for edge cases
Step 8: Iterate
Repeat the process:
# Update baseline
mv new_coverage.out coverage.out
# Re-analyze gaps
./scripts/analyze-coverage-gaps.sh coverage.out --top 15
# Plan next session
# ...
Coverage Improvement Patterns
Pattern: Rapid Low-Hanging Fruit
When: Many zero-coverage functions, need quick wins
Approach:
- Target P1/P2 zero-coverage functions
- Use simple patterns (Unit, Table-Driven)
- Skip complex infrastructure functions
- Aim for 60-70% function coverage quickly
Expected: +5-10% total coverage in 3-4 hours
Pattern: Systematic Package Closure
When: Specific package below target
Approach:
- Focus on single package
- Close all P1/P2 gaps in that package
- Achieve 75-80% package coverage
- Move to next package
Expected: +10-15% package coverage in 4-6 hours
Pattern: Critical Path Hardening
When: Need high confidence in core functionality
Approach:
- Identify critical business logic
- Achieve 85-90% coverage on critical functions
- Use Error Path + Integration patterns
- Add edge case coverage
Expected: +0.5-1% total coverage per critical function
Troubleshooting
Issue: Coverage Not Increasing
Symptoms: Add tests, coverage stays same
Diagnosis:
# Check if function is actually being tested
go test -coverprofile=coverage.out ./...
go tool cover -func=coverage.out | grep FunctionName
Causes:
- Testing already-covered code (indirect coverage)
- Test not actually calling target function
- Function has unreachable code
Solutions:
- Focus on 0% coverage functions
- Verify test actually exercises target code path
- Use coverage visualization:
go tool cover -html=coverage.out
Issue: Coverage Decreasing
Symptoms: Coverage goes down after adding code
Causes:
- New code added without tests
- Refactoring exposed previously hidden code
Solutions:
- Always add tests for new code (TDD)
- Update coverage baseline after new features
- Set up pre-commit hooks to block coverage decreases
Issue: Hard to Test Functions
Symptoms: Can't achieve good coverage on certain functions
Causes:
- Complex dependencies
- Infrastructure code (init, config)
- Difficult-to-mock external systems
Solutions:
- Use Dependency Injection (Pattern 6)
- Accept lower coverage for infrastructure (40-60%)
- Consider refactoring if truly untestable
- Extract testable business logic
Issue: Slow Progress
Symptoms: Tests take much longer than estimated
Causes:
- Complex setup required
- Unclear function behavior
- Pattern mismatch
Solutions:
- Create test helpers (Pattern 5)
- Read function implementation first
- Adjust pattern selection
- Break into smaller tests
Metrics and Goals
Healthy Coverage Progression
Typical trajectory (starting from 60-70%):
Week 1: 62% → 68% (+6%) - Low-hanging fruit
Week 2: 68% → 72% (+4%) - Package-focused
Week 3: 72% → 75% (+3%) - Critical paths
Week 4: 75% → 77% (+2%) - Edge cases
Maintenance: 75-80% - New code + decay prevention
Time investment:
- Initial ramp-up: 8-12 hours total
- Maintenance: 1-2 hours per week
Coverage Targets by Project Phase
| Phase | Target | Focus |
|---|---|---|
| MVP | 50-60% | Core happy paths |
| Beta | 65-75% | + Error handling |
| Production | 75-80% | + Edge cases, integration |
| Mature | 80-85% | + Documentation examples |
When to Stop
Diminishing returns occur when:
- Coverage >80% total
- All P1/P2 functions >75%
- Remaining gaps are infrastructure/init code
- Time per 1% increase >3 hours
Don't aim for 100%:
- Infrastructure code hard to test (40-60% ok)
- Some code paths may be unreachable
- ROI drops significantly >85%
Example: Complete Gap Closure Session
Starting State
Package: internal/validation
Current Coverage: 57.9%
Target Coverage: 75%+
Gap: 17.1%
Zero Coverage Functions:
- ValidateInput (0%)
- CheckFormat (0%)
- ParseQuery (0%)
Low Coverage Functions:
- ValidateFilter (45%)
- NormalizeInput (52%)
Plan
Session: Close validation coverage gaps
Time Budget: 2 hours
Target: 57.9% → 75%+ (+17.1%)
Tests:
1. ValidateInput (15 min) → +4.5%
2. CheckFormat (12 min) → +3.2%
3. ParseQuery (15 min) → +4.1%
4. ValidateFilter gaps (12 min) → +2.8%
5. NormalizeInput gaps (10 min) → +2.5%
Total: 64 min active, 56 min buffer
Execution
# Test 1: ValidateInput
$ ./scripts/generate-test.sh ValidateInput --pattern error-path --scenarios 4
$ vim internal/validation/validate_test.go
# ... fill in TODOs (10 min) ...
$ go test ./internal/validation/ -run TestValidateInput -v
PASS (12 min actual)
# Test 2: CheckFormat
$ ./scripts/generate-test.sh CheckFormat --pattern error-path --scenarios 3
$ vim internal/validation/format_test.go
# ... fill in TODOs (8 min) ...
$ go test ./internal/validation/ -run TestCheckFormat -v
PASS (11 min actual)
# Test 3: ParseQuery
$ ./scripts/generate-test.sh ParseQuery --pattern table-driven --scenarios 5
$ vim internal/validation/query_test.go
# ... fill in TODOs (12 min) ...
$ go test ./internal/validation/ -run TestParseQuery -v
PASS (14 min actual)
# Test 4: ValidateFilter (add missing cases)
$ vim internal/validation/filter_test.go
# ... add 3 edge cases (8 min) ...
$ go test ./internal/validation/ -run TestValidateFilter -v
PASS (10 min actual)
# Test 5: NormalizeInput (add missing cases)
$ vim internal/validation/normalize_test.go
# ... add 2 edge cases (6 min) ...
$ go test ./internal/validation/ -run TestNormalizeInput -v
PASS (8 min actual)
Result
Time: 55 min (vs 64 min estimated)
Coverage: 57.9% → 75.2% (+17.3%)
Tests Added: 5 functions, 17 test cases
Efficiency: 11 min per test (vs 15 min ad-hoc estimate)
SUCCESS: Target achieved (75%+)
Source: Bootstrap-002 Test Strategy Development Framework: BAIME (Bootstrapped AI Methodology Engineering) Status: Production-ready, validated through 4 iterations