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Rational provides a large and integrated suite of products to automate the different stages of the software process Their modeling tool, Rational Rose, and configuration management tool, ClearCase, are probably the most well known Where we have personally found the RUP weak is that it delays deployment until the end of development For large web or enterprise applications, deployment is one of the difficult and risky parts of the process So, it should be emphasized sooner and fed into the basic architecture (Loughran 2002a), as well as into every iteration This does not mean that RUP is unnecessary for such projects, merely insufficient Scott Ambler, a leading proponent of the Agile Software movement, has proposed that developers explicitly include production as a new phase for the RUP, and operations and infrastructure management as new tasks in a project (Ambler 2001).

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A bit farther down the tracing output, you can see the control tree (as shown in earlier chapters) . The control tree for this page is shown in Figure 17-2 .

This revised model aligns better with our experience, and enables Ant to act as the core of a continuous deployment system Ant integrates with the Unified Process as a means of automating the compilation and deployment stages It also supports the Rational ClearCase revision control tool with tasks to check files in and out Ant does not integrate with Rational s testing product family, such as Visual Test or Purify; the latter code analysis tool would be a valuable task to be able to run from a build The Rational TestSuite is more of a higher level test system than the JUnit tests, and would be hard to integrate unless the Rational product family actually hosted Ant itself..

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Figure 16-2: Three key leadership positions in the three test support organizations. Lister and Tom DeMarco, Peopleware: Productive Projects and Teams (New York: Dorset House, 1987).

This book covers how to use Ant, starting with first principles and finishing with large projects complete with complex deployment, testing challenges, and extensions of Ant s capabilities. We also develop a Java application as we go along, because without a project there is no need for a build process. We base most of our examples on this project; although for some of the side topics, such as native code integration, we include stand-alone examples.

Finally, scroll down a bit more and you start seeing some of the context information associated with the request . Figures 17-3 and 17-4 show some of this context information . This application uses session state to save the array of strings . Notice that the session state tracing shows the contents of the session state dictionary . You also get to see other context information . For example, the tracing section shows the session ID and the URL used to surf to this page .

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Documentation search engine example Ant project The example project is a text search engine for indexing and searching through HTML documentation files such as the Ant documentation itself This will work from the command line, and on an application server To avoid having to write most of the search engine ourselves, we chose to use the Lucene search engine, which is another subproject of the Apache Jakarta group It is Java-based, fast, and flexible We also will integrate with Struts to provide a model/view/controller framework, and a data tier that can easily switch between a simple object-relational (O/R) framework and EJB to provide data persistence For the complete source code of this application, visit the companion Manning web site.

FIGURE .17-3 . Tracing turned on for the application in Listing 17-1 . Note the detailed information about the

Our example project consists of several components designed for generalized reuse and illustrates how Ant not only automates mundane tasks, but adds tremendous value by accomplishing tasks that are simply not possible without it Here are details of our project with chapter cross-references: We wrote a custom Ant task to create a Lucene index at build time We are currently indexing Ant s own documentation, but it can index any set of HTML or text files 19 covers creating custom Ant tasks and the Ant API Incorporating custom Ant tasks into a build file becomes much easier if a taskname/classname-mapping properties file is included with the custom task distributable We accomplish the automatic generation of this mapping file using XDoclet templates and custom tags This eliminates the need for a possibly missed manual step, retains metadata in a single place, and reduces duplication We introduce XDoclet in chapter 11.

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