这些因素也拥有相关联的确信因子。
计算确信因子(SF)的指导如下。
Guidelines for calculating sureness factors (SF) are as follows.
计算确信因子的指导如下。
将属性确信因子添加到类型期望和其他相关的需求上。
Add the attribute sureness factor to the type expectation and other dependent requirements.
另外，我们可以根据先前期望的确信因子来为期望结果分配确信因子。
In addition, we can assign a sureness factor to expectation results based on the sureness factors for preceding expectations.
首先，它帮助划分需求的优先级，因为您可以将每个特性追溯到期望，并用确信因子标记它们。
First, it helps prioritize requirements, because you can trace every feature to expectations and then tag them with a sureness factor.
该实例表明，期望分析人员与其他团队成员协商以发现“隐含的”期望并准确地估计确信因子是多么重要。
This example shows how important it is for the expectation analyst to consult with other team members in order to discover "hidden" expectations and accurately estimate the sureness factors.
那些带有低于门限的确信因子的需求可能还未成熟或者没有进入项目范围，在您确定它们之前应使其重新生效。
Requirements with sureness factors below the threshold may not yet be mature enough or may not fall within the project scope; they should be revalidated before you confirm them.
将属性确信因子(带有一个分配的实数值)添加到依赖于期望的其他需求类型中(例如，涉众请求，特性等)。
Add the attribute sureness factor (with a real assigned value) to other requirement types that could depend on expectations (e.g., stakeholder requests, features, etc.).
在这样的实例中，系统分析人员可能会决定只确认那些确信因子在或高于一个具体限制——比方说80%——的特性作为确定的需求。
In such instances, the system analyst might decide to validate only those features whose sureness factor is at or above a specific limit — say 80 percent — as firm requirements.
在这样的实例中，系统分析人员可能会决定只确认那些确信因子在或高于一个具体限制——比方说80%——的特性作为确定的需求。
In such instances, the system analyst might decide to validate only those features whose sureness factor is at or above a specific limit — say 80 percent — as firm requirements.
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