摘要： 针对一致性测试中的静态需求测试通常采用手工方法而产生的效率低问题，提出一种基于统计学习的方法，包括静态需求的关联规则表示，并对采样的协议数据进行关联规则挖掘，如果得到的规则与需求规则一致，静态需求就可以得到统计上的测试检验。该方法在OSPFv3协议测试中取得了较好的效果。

关键词: 静态需求, 一致性测试, 采样, 关联规则

Abstract: This paper presents a statistical learning method to deal with static requirement test of conformance test which is usually dealt with handy methods so it has very low efficiency. Static requirement is demonstrated as rule knowledge. The sampling data are mined to produce association rules. If static requirement complies with association rules, static requirements are statistically correct. The method achieves good results when applying with OSPFv3 protocol conformance test.

Key words: static requirement, conformance test, sampling, association rule

中图分类号: 

• TP393