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he previous chapter introduced NAnt, a build environment tool. Now you will extend your XP tool set to include a unit testing tool. Unit testing tools allow you to build tests at a functional level (at the method-calling level) of your application. This lets you see if the methods you are creating are working in the manner you expect. Another benefit of a unit testing framework is that it allows other developers to see how your application is expected to work at a functional level. Other developers can see what criteria (parameters) you are expecting to receive for a given call to a given method, coupled with actual data and any criteria you are expecting to return. The data passed to the application method is set up in either a special method of the unit testing framework or directly within the call from the unit testing framework to the application method. You will be creating both positive tests (tests that you expect to pass) and negative tests (test that you expect to fail). These positive and negative tests indicate the boundaries of what is expected by the called method in your application and help developers understand those boundaries. This chapter will cover the basics of using NUnit to create unit tests. You will then see how to integrate your NUnit test with NAnt.

// a property definition member x.MyProp with get () = rand.Next() and set y = rand <- new System.Random(y) // create a new instance of our class let prop = new Properties() // run some tests for the class prop.MyProp <- 12 printfn "%d" prop.MyProp printfn "%d" prop.MyProp printfn "%d" prop.MyProp When you compile and execute this example, you get the following results: 2137491492 726598452 334746691

as the soundtrack for your game, but this breaks copyright laws and should be avoided!

You can also declare abstract properties. The syntax is similar, but you replace the keyword member with abstract, and you omit the parameter that represents the object, just as you do for a method. After the member name, you include the name of the type, separated from the member name by a colon. The keyword with comes next, followed by either get or set, which represents whether the inheritor must implement a get or set method, or both, separated by a comma. Properties look exactly like a field to the calling code. The next example revises the previous one so now it uses an interface, IAbstractProperties. You will notice how the derived class ConcreteProperties must implement the get and set methods using the keywords with and and: // an interface with an abstract property type IAbstractProperties = abstract MyProp: int with get, set // a class that implements our interface type ConcreteProperties() = let mutable rand = new System.Random() interface IAbstractProperties with member x.MyProp with get() = rand.Next() and set(y) = rand <- new System.Random(y) Indexers are properties that take two or more parameters, one to represent the element being placed in the pseudo-collection and others to represent the index in it. In C#, all indexers are called Item in the underlying implementation, but the programmer never uses this name because it is always

NUnit is the C# version of the unit testing framework originally made popular by Erich Gamma and Kent Beck. If you will recall from the first part of the book, test-first is a key XP practice. NUnit is the tool you will use to implement that practice. With the help of the NUnit tool, you will develop the skills to create a unit test first, based on your ideas about how a particular application method should and should not behave. Then you will create the application method that satisfies your understanding of the method. You should also recall that one of the four key values of XP is feedback. NUnit provides significant feedback by telling you if your application is behaving in the manner you expected. If your unit tests are failing (not a negative test that you expected to fail, but either a positive test you expected to pass but didn t or a negative test you expected to fail but didn t), you know immediately that something is wrong, and you have a good indication as to where it might be wrong. Every time you discover behavior in your application that you did not expect (otherwise known as a bug), you should first create a unit test that reproduces the bug. The unit test should fail until you fix the actual bug. This will help you determine when the bug is fixed and also help you test for the bug in the future to make sure it does not come back. Once you have written a unit test to reproduce the bug, you should then fix the method call until the unit test passes.