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Only rows for which the <on_predicate> is TRUE are inserted into VT1-J2, shown in Table 1-3.
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<Target Name="CleanDestFolder"> <CreateItem Include="$(DestFolder)**\*"> <Output ItemName="_FilesToDelete" TaskParameter="Include" /> </CreateItem> <Delete Files="@(_FilesToDelete)" /> </Target> <Target Name="DeleteSomeRandomFiles"> <CreateItem Include="$(DestFolder)One.txt;$(DestFolder)Three.txt"> <Output ItemName="_PartialFilesToDelete" TaskParameter="Include" /> </CreateItem> <Delete Files="@(_PartialFilesToDelete)" /> </Target> </Project>
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wall rules for speci c computers or users. Although this is technically possible, it can quickly become a management and documentation nightmare. Use the SBS security groups and OUs to control rewalls. This is exible, easy to maintain, and easily documented.
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Effects of /platform on Resulting Module and at Runtime
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For example, the following code creates a table with the sp_ prefix in master:
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Monitoring Network Protocol Security 11-51
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The plan is shown in Figure 7-9 .
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The tools available for working with source code are richer and more mature than the tools available for working with designs.
V4 =rB1.IndicatorInChart& / & OFFSET(rL1.PeriodHeader,rL1.PeriodSel,0)
FIGURE 12-15 Creating file exceptions
Unlike controls that can be bound directly to a command, InvokeCommandAction does not automatically enable or disable the control based on the command s CanExecute value. To implement this behavior, you have to bind the IsEnabled property of the control directly to a suitable property on the view model, as shown earlier. Command-Enabled Controls vs. Behaviors WPF and Silverlight 4 controls that support commands allow you to declaratively hook up a control to a command. These controls will invoke the specified command when the user interacts with the control in a specific way. For example, for a Button control, the command will be invoked when the user clicks the button. This event associated with the command is fixed and cannot be changed. Behaviors also allow you to connect a control to a command in a declarative fashion. However, behaviors can be associated with a range of events raised by the control, and they can be used to conditionally invoke an associated command object or a command method on the view model. In other words, behaviors can address many of the same scenarios as command-enabled controls, and they may provide a greater degree of flexibility and control. You will need to choose when to use command-enabled controls and when to use behaviors, as well as which kind of behavior to use. If you prefer to use a single mechanism to associate controls in the view with functionality in the view model or for consistency, you should consider using behaviors, even for controls that inherently support commands. If you only need to use command-enabled controls to invoke commands on the view model, and if you are happy with the default events to invoke the command, behaviors may not be required. Similarly, if your developers or UI designers will not be using Expression Blend, you may prefer command-enabled controls (or custom attached behaviors) because of the additional syntax required for Expression Blend behaviors. Invoking Command Methods from the View An alternative approach to implementing commands as ICommand objects is to implement them simply as methods in the view model and then to use behaviors to invoke those methods directly from the view. This can be achieved in a similar way to the invocation of commands from behaviors, as shown in the previous section. However, instead of using InvokeCommandAction, you use the CallMethodAction. The following code example calls the (parameter-less) Submit method on the underlying view model.
A test strategy guides test design and can be a method for providing a direction in test design for the test team. A good test strategy provides vision for the team, helps everyone determine which testing activities are most important, and helps them determine when and where to apply different types of testing. The strategy includes types of testing, processes, and methods the test team will use when testing. It includes an evaluation of risk that helps the team determine where failures are more likely to occur or whether certain components might need more exhaustive testing. The strategy often includes plans for training or education of the test team. The education strategy can include conferences, workshops, or consultant-led training, or it could include peer sharing among the test team. Regardless of how the training is conducted, a first-rate test strategy includes a plan for growing the skills and knowledge of the test team. Example attributes of a test strategy are included in Table 4-3. Table 4-3: Example Test Strategy Attributes Open table as spreadsheet How to consider this attribute Provides an overview of the strategy and describes how the strategy will be used. The strategy is based on the features and quality goals of the project. Lists the documentation plans for the test group, as well as expectations for documentation from other engineering disciplines. What are the primary customer scenarios that will drive the testing effort This section answers that question and ties testing efforts to the product plan.
programs with the __try/__except and __try/__finally keyword pairs. The way you use the __try/__except pair is to set your code inside a __try block and then determine how to handle the exception in the __except block (also called an exception handler). In a __try/__finally pair, the __finally block (also called a termination handler) ensures that a section of code will always be executed upon leaving a function, even if the code in the __try block terminates prematurely, so you can be guaranteed that resources will be cleaned up. Listing 13-1 shows a typical function with SEH. The __except block looks almost like a function call, but the parentheses specify the value of a special expression called an exception filter. The exception filter value in Listing 13-1 is EXCEPTION_EXECUTE_HANDLER, which indicates that the code in the __except block must be executed every time any exception occurs inside the __try block. The two other possible exception filter values are EXCEPTION_CONTINUE_EXECUTION, which allows an exception to be ignored, and EXCEPTION_CONTINUE_SEARCH, which passes the exception up the call chain to the next __except block. You can make the exception filter expression as simple or as complicated as you like so that you target only those exceptions you're interested in handling. Listing 13-1: Example SEH handler void Foo ( void ) { __try { __try { // Execute code to accomplish something. } __except ( EXCEPTION_EXECUTE_HANDLER ) { // This block will be executed if the code in the __try // block causes an access violation or some other hard crash. // handler. } } __finally { // This block will be executed regardless of whether the function // causes a crash. Mandatory cleanup code goes here. } } The code in here is also called the exception
Hewlett-Packard reported that its inspection program saved an estimated $21.5 million per year (Grady and Van Slack 1994). Imperial Chemical Industries found that the cost of maintaining a portfolio of about 400 programs was only about 10% as high as the cost of maintaining a similar set of programs that had not been inspected (Gilb and Graham 1993). A study of large programs found that each hour spent on inspections avoided an average of 33 hours of maintenance work, and inspections were up to 20 times more efficient than testing (Russell 1991). In a software-maintenance organization, 55 percent of one-line maintenance changes were in error before code reviews were introduced. After reviews were introduced, only 2 percent of the changes were in error (Freedman and Weinberg 1990). When all changes were considered, 95 percent were correct the first time after reviews were introduced. Before reviews were introduced, under 20 percent were correct the first time. A group of 11 programs were developed by the same group of people and all were released to production. The first 5 were developed without reviews. and averaged 4.5 errors per 100 lines of code. The other 6 were inspected and averaged only 0.82 errors per 100 lines of code. Reviews cut the errors by over 80 percent (Freedman and Weinberg 1990).
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