Designing data verification and cleaning.
设计数据验证和清理。
Data layer realizes data index, data operation and data verification.
实现数据检索、数据操作、数据验证。
Actual data verification will be the responsibility of the backend applications.
实际的数据验证是后端应用程序的职责。
Record a data verification point using the Visible Text option for the table cell containing the book.
对包含该书的表格单元使用可见文本选项来记录数据验证点。
You can also perform property and data verification points on Siebel custom components for Siebel 7.7 and 7.8.
您还可以执行针对Siebel 7.7和 7.8 版本的自定义组件的属性和数据验证点。
Likewise, you can use SignedObject for data verification, and again the symmetric key must be managed independently.
同样，也可以将SignedObject用于数据验证，并且对称密钥也必须单独管理。
Because you created a data verification point and choose the Visible text test, the text displays in a text box format.
由于你建立了一个数据验证点并选择了可见文本测试，显示的文本是一种文本框的形式。
You can also perform property and data verification points on the SAP GUI, using the Functional Tester data pool framework.
您可以使用FunctionalTester数据池框架在SAPGUI 上执行属性和数据确认点。
Later I'll go into data verification and validation, and clarify the differences between the two, but first a bit on forms.
稍后我将探讨验证和确认，并阐明两者的不同，但首先要看一下表单。
Record a data verification point using the Visible Text option to make sure that the shopping cart icon at the top of the screen is updated to reflect the item in your cart.
使用可见文本选项记录数据验证点来确保画面顶部的购物车图标已按照你购物车内的货物进行了更新。
Once you've selected the book, click the Perform Data Verification Point radio button in the Verification Point and Action Wizard just as in step three above and click Next.
一旦你选中了书，在“验证点和动作”向导中点击“PerformData VerificationPoint”单选按钮，和前面的步骤三是相同的，然后点击下一步。
Od data processing module is used to check every data in the od data table, and finally output the single od data table. It includes two functions: data read and data verification.
OD数据处理模块主要是对OD调查表中的每一条数据进行检验和处理，最后输出是处理完毕的单点OD数据，具体包括两个功能：数据读入、数据检验。
Along with this, they can add verification points and drive data.
与这些一起，他们还可以添加验证点和驱动数据。
By checking a node in the Test Objects pane, you're including the data in that node in your verification point.
通过检查测试对象面板中的节点你就把那个节点中的数据包括进了你的验证点。
Together, these two objects let you seal and sign serialized data without having to stress about the details of digital signature verification or encryption.
结合使用这两种对象，便可以轻松地对序列化数据进行密封和签名，而不必强调关于数字签名验证或加密的细节。
When discussing the cloud, there are many characteristics that should be discussed, including: multi-tenancy, security, data integrity verification, retrieval expectations, and exit strategies.
在讨论云时，有许多特性应该加以讨论，其中包括：多租户、安全性、数据完整性验证、恢复期望值以及退出策略。
Finally, it assists with data entry and verification during test execution to reduce human error.
最后，它还可以在测试执行过程中帮助数据输入和验证，从而减少人工差错。
A really restrictive schema combined with code-level verification of the remaining data may leave you with no room to maneuver.
一个结合了对剩余数据进行代码级验证的真正严格的模式也许不会留下可操纵的空间。
In this approach the signature verification returns some sort of position description of the signed data, next to a Boolean value.
使用这种方法，签名验证可以紧跟在返回的布尔值后再加一些已签名数据的位置信息。
Manual verification points are useful when you create the data for the verification point yourself, and you want to compare the data.
当您自己创建一个验证点的数据并想将这个数据用来做比较时，手工验证点是十分有用的。
While these reports don't add much in terms of new data, they do present nice summary views of the verification point information.
如果这个报告没有添加很多新数据，就说明它们表现的是验证点很健康的概要说明。
This enables quick verification of response data configuration.
这可以对请求数据配置进行快速验证。
Verification compares the data in a field to an existing copy of the data.
验证将域中的数据与现有的数据副本进行比较。
Also, keep in mind that there is no real verification used to access stored data.
另外，记住访问存储的数据并没有使用真正的验证。
Verification of data should almost always only be done on the server, because the data is going to be validated against a data source.
数据验证几乎总是只在服务器上进行，因为要根据一个数据源对数据进行验证。
The evaluation should start from the overall KB accuracy verification, by generating the: "KB Data Sheet," "KB Summary," and "Cumulative Success" reports.
评估应该从确认总体知识库精确性开始，这需要生成“KBDataSheet”、“KBSummary”和“CumulativeSuccess”报告。
Manual Tester is more than just an authoring tool; it also improves productivity of manual test execution with assisted data entry and verification features.
ManualTester不只是一个编写工具，通过辅助的数据输入和验证特性，他还改善了人工测试执行的生产率。
To see the details of verification points, use the Web Service Protocol Data view, as shown in Figure 33.
要查看验证点的详细信息，使用WebServiceProtocoldata视图，如图33所示。
This article shows you how to automate testing more effectively by extending the QSE framework and utilizing Rational Functional Tester features, such as test data pool and verification points.
本文向您展示了通过扩展QSE框架和使用RationalFunctionalTester特性(例如测试数据汇和验证点)，怎样更加有效地自动化测试。
Vaughn Rokosz, an IBM Rational systems verification tester, has defined the following approaches for adding test data into a system.
Vaughn Rokosz是一位IBMRational系统确认测试员，为向系统添加测试数据定义了以下的方法。
应用推荐