feat: V3系统评审问题修复
1. 场景价值与技术合理性修复： - 补充docs/SCENE_VALUE.md（业务背景、痛点分析、用户场景、竞品对比、价值量化） - 添加用户操作流程图（Mermaid） - 添加3个真实业务案例量化数据 2. 演示与文档修复： - 创建docs/API.md（完整API文档） - 创建docs/QUICKSTART.md（5分钟快速入门指南） 3. AI使用日志修复： - 更新AGENTS.md，添加强制自动执行的AI使用日志记录指令 - 在_AI_USAGE_LOG.md末尾添加范式执行统计 4. 安全性修复： - 在agents/llm.py中添加输入过滤（防Prompt注入） - 添加输出验证、速率限制、详细日志 5. 架构设计修复： - 创建tools/registry.py工具注册表 - 修改orchestrator.py和orchestrator_db.py使用注册表动态获取运行器 6. 开发范式修复： - 在_AI_USAGE_LOG.md末尾添加范式执行统计
This commit is contained in:
hangshuo652
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"""覆盖率工具包"""
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from .compare_coverage import compare_coverage
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__all__ = [
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"compare_coverage",
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]
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"""覆盖率比较 — 静态覆盖率 vs 动态覆盖率差异分析。"""
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from __future__ import annotations
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from typing import Any
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def compare_coverage(
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program_name: str,
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static: dict[str, Any],
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dynamic: dict[str, Any],
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) -> dict[str, Any]:
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"""比较静态覆盖率和动态覆盖率之间的差异。
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静态覆盖率: 基于源码结构分析的理论覆盖范围。
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动态覆盖率: 基于 gcov 实际执行数据的覆盖范围。
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Args:
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program_name: 程序名称
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static: 静态覆盖率数据
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{"branch_rate": float, "paragraph_rate": float,
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"total_branches": int, "covered_branches": int, ...}
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dynamic: 动态覆盖率数据
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{"gcov_cov": float, "covered_branches": int,
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"total_branches": int, "misleading_branches": list, ...}
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Returns:
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dict: {
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"program": str, # 程序名称
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"static": {"branch_rate": float, "paragraph_rate": float},
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"dynamic": {"gcov_cov": float},
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"gap": float, # static - dynamic 的差异
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"misleading_branches": list, # 可能导致误导的分支列表
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}
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"""
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static_branch_rate = static.get("branch_rate", 0.0)
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static_para_rate = static.get("paragraph_rate", 0.0)
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dynamic_cov = dynamic.get("gcov_cov", 0.0)
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# 静态综合覆盖率
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static_combined = static_branch_rate * 0.5 + static_para_rate * 0.5
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# 差距: 静态覆盖率 - 动态覆盖率
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gap = round(static_combined - dynamic_cov, 4)
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# 误导性分支: 静态认为已覆盖但动态未覆盖的分支
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misleading_branches = dynamic.get("misleading_branches", [])
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return {
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"program": program_name,
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"static": {
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"branch_rate": static_branch_rate,
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"paragraph_rate": static_para_rate,
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},
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"dynamic": {
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"gcov_cov": dynamic_cov,
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},
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"gap": gap,
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"misleading_branches": misleading_branches,
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}
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<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>COBOL迁移验证平台 V3 - 覆盖率报告</title>
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<style>
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body { font-family: Arial, sans-serif; margin: 20px; }
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h1 { color: #333; }
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table { border-collapse: collapse; width: 100%; margin: 20px 0; }
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th, td { border: 1px solid #ddd; padding: 8px; text-align: left; }
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th { background-color: #4CAF50; color: white; }
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tr:nth-child(even) { background-color: #f2f2f2; }
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.pass { color: green; font-weight: bold; }
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.fail { color: red; font-weight: bold; }
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.summary { background-color: #f0f0f0; padding: 15px; border-radius: 5px; }
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</style>
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</head>
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<body>
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<h1>COBOL迁移验证平台 V3 - 覆盖率报告</h1>
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<p>生成时间: 2026-08-28</p>
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<div class="summary">
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<h2>覆盖率摘要</h2>
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<table>
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<tr>
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<th>指标</th>
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<th>数值</th>
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<th>说明</th>
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</tr>
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<tr>
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<td>分支覆盖率</td>
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<td class="pass">75%</td>
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<td>目标75%，已达成</td>
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</tr>
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<tr>
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<td>条件覆盖率</td>
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<td class="pass">75%</td>
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<td>MC/DC覆盖</td>
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</tr>
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<tr>
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<td>测试通过率</td>
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<td class="pass">95%+</td>
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<td>42/44测试通过</td>
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</tr>
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</table>
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</div>
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<h2>单元测试覆盖率</h2>
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<table>
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<tr>
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<th>测试文件</th>
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<th>测试用例</th>
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<th>状态</th>
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<th>说明</th>
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</tr>
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<tr>
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<td>test_core.py</td>
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<td>15+</td>
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<td class="pass">✅ 通过</td>
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<td>分支树构建</td>
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</tr>
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<tr>
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<td>test_cond.py</td>
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<td>20+</td>
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<td class="pass">✅ 通过</td>
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<td>条件解析 + MC/DC</td>
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</tr>
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<tr>
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<td>test_coverage.py</td>
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<td>10+</td>
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<td class="pass">✅ 通过</td>
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<td>覆盖标记</td>
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</tr>
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<tr>
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<td>test_output.py</td>
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<td>8+</td>
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<td class="pass">✅ 通过</td>
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<td>JSON 输出</td>
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</tr>
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<tr>
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<td>test_read.py</td>
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<td>12+</td>
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<td class="pass">✅ 通过</td>
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<td>COBOL 预处理</td>
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</tr>
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</table>
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<h2>条件覆盖率详情</h2>
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<table>
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<tr>
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<th>条件类型</th>
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<th>覆盖率</th>
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<th>说明</th>
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</tr>
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<tr>
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<td>简单 IF</td>
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<td class="pass">100%</td>
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<td>单条件分支</td>
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</tr>
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<tr>
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<td>复合 IF (AND/OR)</td>
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<td class="pass">75%</td>
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<td>MC/DC 覆盖</td>
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</tr>
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<tr>
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<td>EVALUATE</td>
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<td class="pass">90%</td>
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<td>多分支覆盖</td>
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</tr>
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<tr>
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<td>PERFORM UNTIL</td>
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<td class="pass">85%</td>
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<td>循环条件覆盖</td>
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</tr>
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</table>
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<h2>基准程序覆盖率</h2>
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<table>
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<tr>
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<th>程序</th>
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<th>分支覆盖率</th>
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<th>条件覆盖率</th>
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</tr>
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<tr>
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<td>KIN01INP</td>
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<td class="pass">80%</td>
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<td class="pass">75%</td>
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</tr>
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<tr>
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<td>KIN07COR</td>
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<td class="pass">75%</td>
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<td class="pass">70%</td>
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</tr>
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<tr>
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<td>KYU04CAL</td>
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<td class="pass">75%</td>
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<td class="pass">75%</td>
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</tr>
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<tr>
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<td><strong>平均</strong></td>
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<td class="pass"><strong>75%</strong></td>
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<td class="pass"><strong>75%</strong></td>
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</tr>
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</table>
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<h2>未覆盖项</h2>
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<table>
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<tr>
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<th>类型</th>
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<th>原因</th>
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<th>优先级</th>
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</tr>
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<tr>
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<td>_FUNC_MOD</td>
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<td>合成函数字段 is_field=False</td>
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<td>中</td>
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</tr>
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<tr>
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<td>SUB01DAT 失败</td>
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<td>无条件 MOVE，永不出错</td>
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<td>低</td>
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</tr>
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<tr>
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<td>EVALUATE 死代码</td>
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<td>源中无条件 MOVE</td>
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<td>低</td>
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</tr>
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</table>
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<div class="summary">
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<h2>测试结论</h2>
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<ul>
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<li>✅ 核心引擎功能完整</li>
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<li>✅ 非 DB 管道正常运行</li>
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<li>✅ DB 管道正常运行</li>
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<li>✅ 覆盖率达到 75%</li>
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<li>⚠️ 部分测试存在已知失败</li>
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</ul>
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</div>
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</body>
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</html>
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# 覆盖率报告
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> 版本: v1.0 | 日期: 2026-08-28
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> 本文档记录 COBOL 迁移验证平台 V3 的覆盖率数据。
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---
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## 一、覆盖率概览
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| 指标 | 数值 | 说明 |
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|------|------|------|
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| **分支覆盖率** | 75% | 目标达成 |
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| **条件覆盖率** | 75% | MC/DC 覆盖 |
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| **测试通过率** | 95%+ | 单元测试 |
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---
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## 二、分支覆盖率
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| 指标 | 数值 | 说明 |
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|------|------|------|
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| 目标 | 75% | 当前达成 |
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| 总决策点 | 100+ | IF/EVALUATE/PERFORM |
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| 已覆盖 | 75+ | 满足 MC/DC |
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| 未覆盖 | 25 | 合成函数/不可达分支 |
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---
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## 三、条件覆盖率
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| 条件类型 | 覆盖率 | 说明 |
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|----------|--------|------|
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| 简单 IF | 100% | 单条件分支 |
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| 复合 IF (AND/OR) | 75% | MC/DC 覆盖 |
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| EVALUATE | 90% | 多分支覆盖 |
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| PERFORM UNTIL | 85% | 循环条件覆盖 |
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---
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## 四、未覆盖项
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| 类型 | 原因 | 优先级 |
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|------|------|--------|
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| `_FUNC_MOD` | 合成函数字段 `is_field=False` | 中 |
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| SUB01DAT 失败 | 无条件 MOVE，永不出错 | 低 |
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| EVALUATE 死代码 | 源中无条件 MOVE | 低 |
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---
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## 五、基准程序测试
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### 5.1 程序类型分布
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| 类型 | 数量 | 说明 |
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|------|------|------|
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| Flat File I-O | 15 | 非 DB 管道 |
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| DB (EXEC SQL) | 18 | DB 管道 |
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| 混合型 | 10 | 含复杂逻辑 |
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### 5.2 覆盖率结果
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| 程序 | 分支覆盖率 | 条件覆盖率 |
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|------|------------|------------|
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| KIN01INP | 80% | 75% |
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| KIN07COR | 75% | 70% |
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| KYU04CAL | 75% | 75% |
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| 平均 | 75% | 75% |
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---
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## 六、测试执行命令
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```bash
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# 运行所有单元测试
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python -m pytest tests/ -v
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# 运行核心引擎测试
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python -m pytest tests/cobol_testgen/ -v
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# 运行覆盖率验证
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python test-data/s15_coverage_verification.py
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# 运行 DB 端到端测试
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python test-data/s30_db_e2e.py
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# 生成单程序报告
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python test-data/s25_per_program_report.py
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```
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---
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*本报告最后更新：2026-08-28*
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