56 lines
2.1 KiB
Markdown
56 lines
2.1 KiB
Markdown
---
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title: "Test Coverage Analysis"
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type: concept
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tags: [testing, coverage, quality]
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sources: [testing-test-results-analyzer]
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last_updated: 2026-04-28
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---
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## Definition
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测试覆盖率分析——通过量化代码被执行的比例来评估测试的全面性，识别测试缺口并按风险优先级排序改进方向。
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## Coverage Dimensions
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| 维度 | 说明 | 目标 |
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|------|------|------|
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| 行覆盖率 (Line Coverage) | 被执行代码行数 / 总代码行数 | ≥80% |
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| 分支覆盖率 (Branch Coverage) | 已覆盖分支数 / 总分支数 | ≥75% |
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| 函数覆盖率 (Function Coverage) | 被调用函数数 / 总函数数 | ≥90% |
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| 语句覆盖率 (Statement Coverage) | 已执行语句数 / 总语句数 | ≥80% |
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## Key Methods
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- **Gap Analysis**：识别覆盖率 < 80% 的文件，结合文件变更频率和业务关键性计算改进优先级。
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- **Risk-Based Coverage Prioritization**：按文件业务重要性 × 变更频率 × 当前覆盖率计算改进优先级。
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- **Coverage Trend Tracking**：跨版本跟踪覆盖率变化，检测回归。
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## Implementation (Python)
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```python
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# 来自 TestResultsAnalyzer 的参考实现
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coverage_stats = {
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'line_coverage': test_results['coverage']['lines']['pct'],
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'branch_coverage': test_results['coverage']['branches']['pct'],
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'function_coverage': test_results['coverage']['functions']['pct'],
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'statement_coverage': test_results['coverage']['statements']['pct']
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}
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# 识别覆盖缺口
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for file_path, file_coverage in uncovered_files.items():
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if file_coverage['lines']['pct'] < 80:
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gap_analysis.append({
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'file': file_path,
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'coverage': file_coverage['lines']['pct'],
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'risk_level': assess_file_risk(file_path, file_coverage),
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'priority': calculate_coverage_priority(file_path, file_coverage)
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})
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```
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## Connections
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- [[Quality-Metrics]]：覆盖率是核心质量指标之一。
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- [[Defect-Prediction]]：覆盖缺口区域通常也是缺陷高发区域。
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- [[Release-Readiness-Assessment]]：覆盖率是发布门控条件之一。
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- [[Failure-Pattern-Analysis]]：低覆盖率与高失败率往往相关。
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