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Under the hood, Lucene s API can perform searches by using a Query object, which can be constructed either through the API directly (for example, a nested set of BooleanQuery objects), or more simply using the QueryParser, which takes expressions like those just shown and parses them into a Query object. The parsing of such expressions into Java objects can be done by using a grammar compiler. There are two grammar compilers with built-in Ant support: ANTLR and JavaCC. Because our particular application uses Lucene and because Lucene takes advantage of JavaCC, we feature it here. JavaCC is a Java grammar compiler that compiles .jj files into .java source code. The Lucene query parser, for example, is written using JavaCC, compiled into .java files during Lucene s build process, and then compiled using the standard <javac> task. If you re writing your own meta-language by using JavaCC, the Ant <javacc> task is the quickest way to integrate the two-step sequence into your build process. The <javacc> task is simply a wrapper around the JavaCC command-line compiler. Listing 10.4 is a piece of Lucene s own build file that uses the <javacc> task.

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namespace ConsumeQuotesService { class Program { static void Main(string[] args) { // Get a single random quote

<target name="compile" depends="init,javacc_check" if="javacc.present"> <!-- ... --> Outputs to temporary directory <javacc target="${src.dir}/org/apache/lucene/queryParser/QueryParser.jj" javacchome="${javacc.zip.dir}" outputdirectory="${build.src}/org/apache/lucene/queryParser"/> <javac srcdir="${src.dir}:${build.src}" includes="org/**/*.java"

// Now add a quote // Now get all the quotes // Now call GetAQuote asynchronously System.Console.WriteLine( "Now fetching a quote asynchronously"); Console.WriteLine(); quotesServiceClient.BeginGetAQuote(GetAQuoteCallback, quotesServiceClient); Console.WriteLine("Press enter to exit..."); Console.ReadLine();

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R2 is the same value as X. Thus, the outcome of a sequence of two XORs using the same value produces the original value. To see this feature of the XOR in ...

Regular expression replacement If you re coming from a Unix and a Make-based build, chances are you ll be wondering where sed, awk, and Perl are hiding in Ant. The <replaceregexp> task is not quite a full-fledged version of those handy tools, but it can be just what you need to solve some of those tricky build process issues. Let s demonstrate regular expression replacement with an example: an application uses a file display.properties to define sort.order as a comma-delimited list. The application uses this information to provide default sorting of names displayed.

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Any sort of modeling is good, but accompanying models with tests generated from models is powerful. Models help testers understand (and explain) complex systems, they help manage risk, and they help find bugs. Generated test cases from models can do some interesting things, things human testers might not think of or have the patience to do. This unexpected behavior in the model generates unexpected behavior in the application (and this is good for testers). For example, a test of 100 randomly generated steps might or might not (but usually does) find a bug that's deeply buried in the tested application. If you were as thorough as the random walk that generated these 100 steps, you, too, might find the bug, but why trouble yourself when, with the proper instructions, the computer can randomly walk the tested app day and night until it finds a crash Model-based tests, of course, do much more than random walks through an application. Microsoft teams have used model-based tests in conjunction with traditional test automation to test many features and applications effectively. Teams that are successful using modeling also understand that modeling is just one tool of many test tools in a tester's toolbox.

Suppose certain customers want to deviate from this default and swap the order. Rather than provide a separate properties file for each customer, we could use the <replaceregexp> task to maintain a single file and note the exceptions (perhaps in a customer-specific properties file loaded in Ant), as the following code illustrates:

static void GetAQuoteCallback(IAsyncResult asyncResult) { // implementation removed for clarity }

<project name="Regexp" default="default"> <property name="customer" value="normal"/> <property file="${customer}.properties"/> <target name="init"> <delete dir="output"/> <mkdir dir="output"/> </target> <target name="default" depends="init" if="customer.different"> <copy file="display.properties" todir="output"/> <replaceregexp file="output/display.properties" match="sort.order=(.*),(.*)" replace="sort.order=\2,\1" byline="true" /> </target> </project>

10 . . Run the program to watch the console application call the WCFQuotesService . You should see the following output:

Model-Based Software Testing and Analysis with C# by Jonathan Jacky, Margus Veanes, Colin Campbell, and Wolfram Schulte Practical Model-Based Testing: A Tools Approach by Mark Utting and Bruno Legeard Testing Object Oriented Systems by Robert Binder Spec Explorer, http://research.microsoft.com/projects/specexplorer/ NModel Modeling tool, http://www.codeplex.com/NModel

The <replaceregexp> shown matches a comma-delimited sort.order line and replaces it with the two fields swapped. The <replaceregexp> task modifies files in place. Notice that the source file was copied to a working directory prior to replacement. Although the main point is to demonstrate a use of <replaceregexp>, the conditional flag was added to provide some insight into how Ant properties can be used to make life easier, even given exceptions to rules. In this example, an

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