Unverified50% confidenceFactExact time
圈复杂度衡量代码中独立执行路径的数量，与缺陷密度存在显著正相关
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
Unverified缺陷预测早期方法基于Halstead复杂度、McCabe圈复杂度等静态代码度量指标构建统计模型73% similarUnverified通常认为圈复杂度超过10的函数需要重点关注，超过20则属于高风险代码73% similarUnverified去中心化编排容易出现任务循环、责任不清或错误累积等可靠性问题70% similarUnverified圈复杂度业界通常以10为警戒线，超过20则认为代码难以维护和测试70% similarUnverifiedLLMs often produce 1,000 lines of code for problems solvable in 100 lines, exhibiting over-complexity behavior.68% similar
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