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This definition goes on to call out a little about how SOA is different from Remote Procedure Call (RPC). It s an important distinction, and one that s easy to miss when you re first coming to an understanding of service orientation. This is a message-passing infrastructure, and not an RPC mechanism. In this definition, we see our invocation of a message-based approach, a distinction that s more metaphorical than anything else, and one we ll carry through our entire discussion. It changes how you think about services, changes that should influence how they re designed. This distinction is lost on many, however, because it doesn t change how services are consumed. At the end of the day, you create an instance of a type, call a method, and get a value returned. It looks like RPC. It acts like RPC. But it is not RPC. The message is the medium. Don Box Architect, Microsoft Corporation These definitions seemingly land all over the board. SOA really seems to mean a lot of different things to different people. There are some common themes here, though, and pulling out these threads should give you a more vivid idea of what the SOA tapestry reveals.

2 Also see this page for a discussion of useful values to test for: www.testingreflections.com/node/view/4828.

Figure 9-11. The web page after the customer has been updated and the new updated customer has been inserted into the session state

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The first theme is that a service provider needs a way to publish its service Since the infrastructure is intended to facilitate reuse, publishing the service is a critical step to get the word out, so others can make use of the service A company may have a central repository for all of the services available within the enterprise When a team has a new set of requirements they re planning to meet, they can query the repository and see if any piece of their functionality is already available from another department When that team, in the process of meeting these requirements, creates new services, they publish them in the repository as well, so that others can find and use them moving forward With Web Services, this publishing is done using a Universal Description Discovery Integration (UDDI) repository We ll examine UDDI in a bit.

Self-tracking entities make n-tier development easier because they implement their own change tracking mechanism Self-tracking entities record changes without the support of an object context When sent to the server, these changes can be replayed in the presence of an object context using the ApplyChanges() method To make this process easier in WCF scenarios, the generated code for self-tracking entities hooks into the deserialization process using the OnDeserializedAttribute This code turns on change tracking before the entity is received by the client This makes change tracking with self-tracking entities fairly seamless in a WCF environment The story is a little more manual outside of WCF In this recipe, we used the self-tracking entities in an ASPNET environment To turn on change tracking, we implemented the StartSelfTracking() method In this method we find all the self-tracking entities in the object state manager and for each call StartTracking().

Let s sum up a few key points: DDT gives you much more bang for the buck than TDD does. Figure 3 20 makes this pretty obvious: you can get more accomplished when your process isn t Too Damn Difficult. We spent most of 2 refactoring our unit tests, with the end result being that we developed the checkPassword method. By contrast, with considerably less effort following the DDT approach, we ve designed the entire Login use case in this chapter. We haven t covered customer requirement tests or scenario tests (collectively known as acceptance tests) in this chapter, but we ll have a chapter on each topic in Part 2. But it s worth noting here that we ve already identified requirement test cases (Figure 3 8), and we ll be driving the acceptance testing from the text of the use case. In 2, the TDD design led to an interface called AccountValidator, while the behavior allocation techniques using ICONIX/DDT put a validate method on the Account class. You ll find that this approach results in a more domaindriven design.4 We ve actually realized more of the intent behind TDD following this approach than we realized by applying TDD in 2. With the DDT approach, we found ourselves thinking much more along the lines of What could possibly go wrong and What else could go wrong and creating test scenarios to cover each of these possibilities. The result is a much more rigorously designed system, where rainy day scenarios are accounted for and tested right from the get-go, rather than refactored into the design later.

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