黑盒测试等价类划分法中等价类划分规则的优化  

Optimization of equivalence division rules in black box test equivalence division method

作　　者：斯日古楞 SRI Guleng(Inner Mongolia Electronic Information Vocational and Technical College,Hohhot 010070,China)

机构地区：[1]内蒙古电子信息职业技术学院,呼和浩特010070

出　　处：《计算机应用文摘》2024年第20期200-203,共4页

摘　　要：等价类划分法在黑盒测试中具有不可代替的作用,是边界值分析的基础。然而,当前的等价类划分法的划分规则存在不合理性,对测试用例设计过程造成了一定影响。文章分析了已有的等价类划分法的划分规则,指出了存在的问题,并对其进行了修正和优化,最终形成了新的划分规则。经验证,优化后的规则易于使用且逻辑清晰,能够帮助测试设计人员进一步提高工作效率。The equivalence class partitioning method plays an irreplaceable role in black box testing and is the foundation of boundary value analysis.However,the current equivalence class partitioning method has unreasonable partitioning rules,which have a certain impact on the design process of test cases.The article analyzes the division rules of existing equivalence class division methods,points out the existing problems,and makes corrections and optimizations to ultimately form new division rules.After verification,the optimized rules are easy to use and logically clear,which can help test designers further improve work efficiency.

关 键 词：黑盒测试 等价类划分法 划分规则 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]