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Quantifying Test Risk Using Design of Experiments

机译:使用实验设计量化测试风险

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摘要

The intended outcome of test is to provide information to decision makers. When test resources are constrained, the test planner must be ready to identify and quantify the risk of missing intended outcomes due to executing fewer test points than desired or planned. Department of Defense (DoD) leadership has advocated for a re-invigoration of technical rigor in test design and this can be leveraged to address risk under these circumstances. Design of experiments (DOE) methodology supports efficient test designs and can be used to quantify risk associated with test design changes. Assessing design metrics such as model size, signal to noise ratio, power, confidence, and their combined effects due to these design changes facilitates a quantifiable assessment of risk to the test program and helps identify alternate test designs that may be valuable and executable even with reduced resources. Quantifying these changes and determining the quality of data that can be collected is a critical task for the test designer.
机译:测试的预期结果是为决策者提供信息。当测试资源受到限制时,由于执行的测试点少于预期或计划的数量,测试计划者必须准备好识别和量化错过预期结果的风险。国防部(DoD)领导层倡导重新设计测试设计中的严谨技术,可以在这种情况下利用它来应对风险。实验设计(DOE)方法论支持高效的测试设计,并可用于量化与测试设计更改相关的风险。评估设计指标,例如模型尺寸,信噪比,功率,置信度以及由于这些设计更改而产生的综合影响,有助于量化评估测试程序的风险,并有助于确定可能有价值且可执行的替代测试设计。减少资源。量化这些变化并确定可以收集的数据质量是测试设计人员的关键任务。

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