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Once you have completed the upgrade, it is always a good idea to log in to the application and run some tests to make sure the upgrade was truly a success before releasing the database back into production. It will help if you have some baseline performance statistics prior to the upgrade that you can use to compare to the upgraded database. Unfortunately, some people are reluctant to change and think everything used to work better on the old version. In rare cases, some queries may actually perform worse after the upgrade. Having a baseline will help you determine if there is actually an issue, or if it is just user perception.

Test cases are very detailed and specific. You could easily end up with hundreds, even thousands, of test cases. I have seen people make the mistake of just starting to write test cases without planning first. I have done this myself as well. I think one of the reasons for this is because it s easy to think of test cases. The problem is, however, that you need to define all the test cases. Starting at a high level and gradually drilling down is the approach that is most likely to produce good test coverage. Another advantage of this approach is that you can still test without detailed test cases. For example, suppose you only had time to write 90 percent of the test cases. With the high-level approach, you would know which areas were missing detailed test cases. You could perform ad hoc testing in these areas and hopefully still achieve adequate coverage. With this in mind, you should start the process by listing the test scenarios. As I explained in the glossary, a test scenario is a set of test cases that cover a particular function. Scenarios are described in general terms. For example, Verify the login page. You can address specific areas that need to be addressed by listing additional scenarios such as Handle expired passwords. Later you will address each scenario, writing the specific test cases that are needed.

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philosophical idea rather than a concrete standard. The fundamental idea behind REST is that every URL represents a unique object rather than a mere method call. The different HTTP verbs represent what you want to do with the object (for example, you use an HTTP GET to retrieve the object and HTTP POST to update it). Most web services that describe themselves as REST-based don t completely adhere to this idea and are actually just simple non-SOAP web services.

In this section, you ll see how to consume a simple web service that returns plain-text data Later in this chapter, you ll go a little further and consider a web service that returns XML Earlier, you looked at a page that included a table with world population numbers throughout history If you want to convert this to a web service, you can write a bit of web code that receives a year and writes out the relevant population figure The requested year can be supplied through a query string argument (in an HTTP GET request) or posted to your page (with an HTTP POST request) The strategy you choose determines whether the client must use WebClient or the somewhat more complex WebRequest class WebClient is enough for an ordinary HTTP GET request, but only WebRequest allows your Silverlight code to post a value.

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