test-coverage-analyzer

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Test Coverage Analyzer

测试覆盖率分析器

Analyze test coverage and identify testing gaps.

分析测试覆盖率并识别测试缺口。

Quick Start

快速开始

Run coverage and analyze results:

bash

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运行覆盖率检测并分析结果：

bash

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JavaScript/TypeScript

npm test -- --coverage

Python

pytest --cov=src --cov-report=term-missing

Go

go test -cover ./...

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go test -cover ./...

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Instructions

操作步骤

Step 1: Generate Coverage Report

步骤1：生成覆盖率报告

JavaScript/TypeScript (Jest):

bash

npm test -- --coverage --coverageReporters=text --coverageReporters=lcov

JavaScript/TypeScript (Vitest):

bash

vitest run --coverage

Python (pytest):

bash

pytest --cov=src --cov-report=html --cov-report=term-missing

Go:

bash

go test -coverprofile=coverage.out ./...
go tool cover -html=coverage.out

JavaScript/TypeScript (Jest):

bash

npm test -- --coverage --coverageReporters=text --coverageReporters=lcov

JavaScript/TypeScript (Vitest):

bash

vitest run --coverage

Python (pytest):

bash

pytest --cov=src --cov-report=html --cov-report=term-missing

Go:

bash

go test -coverprofile=coverage.out ./...
go tool cover -html=coverage.out

Step 2: Analyze Coverage Metrics

步骤2：分析覆盖率指标

Review these key metrics:

Line coverage: Percentage of lines executed
Branch coverage: Percentage of conditional branches tested
Function coverage: Percentage of functions called
Statement coverage: Percentage of statements executed

Target thresholds:

Critical code: 80%+ coverage
Standard code: 60%+ coverage
UI/Config: 40%+ coverage

查看以下关键指标：

行覆盖率：已执行代码行的百分比
分支覆盖率：已测试条件分支的百分比
函数覆盖率：已调用函数的百分比
语句覆盖率：已执行语句的百分比

目标阈值:

核心代码：覆盖率≥80%
标准代码：覆盖率≥60%
UI/配置代码：覆盖率≥40%

Step 3: Identify Gaps

步骤3：识别测试缺口

Look for:

Uncovered functions: Functions with 0% coverage
Partial coverage: Functions with <50% coverage
Missing branches: Untested if/else paths
Error paths: Untested catch blocks
Edge cases: Boundary conditions not tested

重点关注：

未覆盖函数：覆盖率为0%的函数
部分覆盖函数：覆盖率<50%的函数
缺失分支：未测试的if/else路径
错误处理路径：未测试的catch块
边缘场景：未测试的边界条件

Step 4: Prioritize Testing

步骤4：划分测试优先级

High Priority (test first):

Business logic with 0% coverage
Security-critical functions
Payment/transaction code
Data validation logic
Error handling paths

Medium Priority (test next):

API endpoints
Database operations
Utility functions
Configuration logic

Low Priority (test if time permits):

Simple getters/setters
UI presentation logic
Type definitions
Generated code

高优先级（优先测试）：

覆盖率为0%的业务逻辑
安全关键函数
支付/交易相关代码
数据验证逻辑
错误处理路径

中优先级（次之测试）：

API接口
数据库操作
工具函数
配置逻辑

低优先级（时间允许时测试）：

简单的getter/setter方法
UI展示逻辑
类型定义
自动生成的代码

Step 5: Create Action Plan

步骤5：制定行动计划

For each gap:

Identify the untested code
Determine test type needed (unit/integration/e2e)
Estimate effort (small/medium/large)
Assign priority (high/medium/low)
Create test implementation tasks

针对每个测试缺口：

定位未测试代码
确定所需测试类型（单元测试/集成测试/端到端测试）
评估工作量（小/中/大）
划分优先级（高/中/低）
创建测试实现任务

Common Patterns

常见模式

Pattern: Find untested files

bash

undefined

模式：查找未测试文件

bash

undefined

Jest

npm test -- --coverage --collectCoverageFrom='src/**/*.{js,ts}' --coverageThreshold='{"global":{"lines":0}}'

pytest

pytest --cov=src --cov-report=term-missing | grep "0%"


**Pattern: Check specific module**
```bash

pytest --cov=src --cov-report=term-missing | grep "0%"


**模式：检查特定模块**
```bash

Jest

npm test -- path/to/module --coverage

pytest

pytest tests/test_module.py --cov=src.module --cov-report=term-missing


**Pattern: Enforce coverage thresholds**
```json
// package.json (Jest)
{
  "jest": {
    "coverageThreshold": {
      "global": {
        "branches": 70,
        "functions": 70,
        "lines": 70,
        "statements": 70
      }
    }
  }
}

pytest tests/test_module.py --cov=src.module --cov-report=term-missing


**模式：强制执行覆盖率阈值**
```json
// package.json (Jest)
{
  "jest": {
    "coverageThreshold": {
      "global": {
        "branches": 70,
        "functions": 70,
        "lines": 70,
        "statements": 70
      }
    }
  }
}

Advanced

进阶内容

For detailed information, see:

Coverage Tools - Tool-specific configuration and usage
Testing Patterns - Common testing patterns and best practices

如需详细信息，请查看：

Coverage Tools - 工具专属配置与使用指南
Testing Patterns - 常见测试模式与最佳实践