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System testing infrastructure with hidden variable, hidden attribute, and hidden value detection

机译:系统测试基础架构,隐藏变量,隐藏属性和隐藏值检测

摘要

Inputs to a system under test (SUT) are modeled as a collection of attribute-value pairs. A set of testcases is executed using an initial set of test vectors that provides complete n-wise coverage of the attribute-value pairs. For each execution of the testcases, for each attribute-value pair, a non-binary success rate (SAV) is computed based on the binary execution results. in response to a success rate of an attribute-value pair being below a predetermined threshold, a subset of testcases that use the attribute-value pair is identified. Further, sets of code paths for the subset of testcases are identified, each set of code path respectively corresponding to a testcase from the subset of testcases. Further, an intersection of the sets of code paths is determined. Code paths of the SUT that are in the intersection, are highlighted to represent a soft failure with the SUT.
机译:对被测系统(SUT)的输入被建模为属性值对的集合。 使用一组初始测试向量执行一组测试程序,该测试向量提供属性值对的完整N-WISE覆盖范围。 对于测试配置酶的每个执行,对于每个属性值对,基于二进制执行结果计算非二进制成功率(SAV)。 响应于属性值对的成功率低于预定阈值,识别使用属性值对的测试序列的子集。 此外,识别出测试配置酶的子集的代码路径,每组代码路径分别对应于来自测试序列子集的测试箱。 此外,确定代码路径集的交叉点。 突出显示在交叉路口中的SUT的代码路径以表示SUT的软故障。

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