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if (!Csla.Security.AuthorizationRulesManager.PrincipalRoleInList( principal, allow)) result = false; } else { var deny = Csla.Security.AuthorizationRules.GetDenyGetRoles(objectType); if (deny != null) { if (Csla.Security.AuthorizationRulesManager.PrincipalRoleInList( principal, deny)) result = false; } } return result; } The GetAllowGetRoles() and GetDenyGetRoles() methods are helper methods that retrieve the list of roles allowed and denied access to the get operation for the specified type: internal static List<string> GetAllowGetRoles(Type objectType) { var typeRules = ObjectAuthorizationRules.GetRoles(objectType); return typeRules.AllowGetRoles; } The PrincipalRoleInList() method loops through the list of roles to determine whether the current user is in any of the roles in the list. This method is just a simple loop, but it calls a private method named IsInRole() rather than calling the IsInRole() method on the current principal object. Here s the IsInRole() method: private static bool IsInRole(IPrincipal principal, string role) { if (mIsInRoleProvider == null) { string provider = ApplicationContext.IsInRoleProvider; if (string.IsNullOrEmpty(provider)) mIsInRoleProvider = IsInRoleDefault; else { string[] items = provider.Split(','); Type containingType = Type.GetType(items[0] + "," + items[1]); mIsInRoleProvider = (IsInRoleProvider)(Delegate.CreateDelegate( typeof(IsInRoleProvider), containingType, items[2])); } } return mIsInRoleProvider(principal, role); } This method abstracts the IsInRole() concept so it isn t necessarily tied to checking with the current principal object. If the application s config file contains an entry for an IsInRoleProvider() method, that method is used instead of the default. The config entry would go in the <appSettings> element and would look like this:

consistency problems, then an exception is generated. There is no advantage or disadvantage to using either a callback or populated properties. To a large degree, it s the choice of the test writer. Now that you have an understanding of how to define the base of your application and a general idea of how the Bridge and Factory patterns are involved, let s take a closer look at these patterns, starting with the Bridge pattern.

Enables the use of SOAP messaging in Java applications, using resource factories in a manner similar to the Java Messaging Service (JMS). An XML-RPC implementation API for Java. Similar to JAXM. Provides implementation-neutral access to XML repositories like ebXML and UDDI.

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Imagine, for instance, that your page contains critical and dynamic information such as stock quotes or flight arrival information that needs to be updated on a regular basis. You can use the Timer control on your page to trigger updates to an UpdatePanel control, all without having to do any full-page refreshes.

Testing local EJBs and dependent objects Since EJBs accessed via a remote interface should be coarse-grained components, many rely on the functionality provided by other local EJBs or dependent objects for tasks like data persistence, remote system interactions, and service interfaces. Testing an EJB that is only available locally requires testing code to be running in the same JVM as the EJB. Fortunately, this can be accomplished using Cactus or JUnitEE in most circumstances. Testing dependent objects directly can be challenging, but using them without directly testing them can make debugging your EJB impossible. In these cases, we recommend that you design dependent objects to be very configurable and have their owning EJB pass in configuration data from the deployment descriptor at runtime. Then implement either a JUnit test case or a main method within the dependent object that configures an instance with some hard-coded values and exercises it. The dependent object can then be tested outside of the EJB prior to testing the EJB itself. Structuring tests in this manner can increase confidence that EJB level errors are not the result of misbehaved member objects. End-to-end testing strategy Logically sequencing and structuring your J2EE testing activities is essential to efficient testing and debugging. Figure 1.9 suggests an overall approach to testing the various types of components you are likely to have in your J2EE application. This is a bottom-up testing strategy, in which each layer builds upon the successful completion of testing from the previous layer. Sequencing of testing phases tends to be somewhat fluid, based on the types of testing your system requires. Most testing cycles tend to follow a sequence such as the one depicted in figure 1.10. However, it is possible to

class Employee : Person { } class Person { public string Name; public int Age; // Convert a Person object to an int public static implicit operator int(Person p) { return p.Age; } } class Program { static void Main( ) { Employee Bill = new Employee(); Bill.Name = "William"; Bill.Age = 25; Convert an Employee to a float. float FVar1 = Bill; Console.WriteLine("Person Info: {0}, {1}", Bill.Name, FVar1); } } Figure 18-28 illustrates the conversion.

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