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Patternsets represent a collection of file matching patterns. Patternsets can be defined and applied to any number of filesets. The actual element names used for datatypes within a task may vary, and a task may have several different elements all using the same datatype. Some tasks even implicitly represent a path or fileset. Ant s documentation clearly defines the types each attribute and element represent, and is the best reference for such details. Properties are the heart of Ant s extensibility and flexibility. They provide a mechanism to store variables and load them from external resources including the environment. The rules governing properties, such as immutability, are critical to understand in designing build files. Wisely utilizing the features presented in this chapter gives the build file elegance, structure, reusability, extensibility, and control. The rest of the book including our sample application s build process will take full advantage of each of these facilities, and so should yours! Several additional datatypes have been introduced, yet not much detail provided yet. The XMLCatalog datatype, for example, is best covered with the XML tasks that utilize it in chapter 13. To reiterate an underlying theme of our book is Ant best practices and effective use of Ant for real-world build situations. We refrained from making this book too much of a reference-only type of text because Ant s documentation serves this purpose, and as such the details and syntax of some datatypes is not explicitly provided here. You now have a solid general overview of Ant s abstractions, which enable you to define your build process at a higher level than otherwise possible with shell scripting or other build tools.
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UNDERSTANDING ANT DATATYPES AND PROPERTIES
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C H A
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4.1 4.2 4.3 4.4 4.5 Refactoring 86 Java main() testing 86 JUnit primer 87 Applying unit tests to our application 92 The JUnit task <junit> 94 4.6 4.7 4.8 4.9 4.10 Test failures are build failures 97 Generating test result reports 100 Short-circuiting tests 105 Best practices 109 Summary 110
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Any program feature without an automated test simply doesn t exist. 1 Software bugs have enormous costs: time, money, frustrations, and even lives. How do we alleviate as much of these pains as possible Creating and continuously executing test cases for our software is a practical and common approach to address software bugs before they make it past our local development environment. The JUnit testing framework is now the de facto standard unit testing API for Java development. Ant integrates with JUnit to allow executing test suites as part of the build process, capturing their output, and generating rich color enhanced reports. In this chapter, we cover in more detail what testing can give us beyond knowing that our code is working well within some boundaries, then we cover the primary alternative to JUnit testing and why it is insufficient. The bulk remainder of the chapter, the largest part, is devoted to Ant s JUnit integration: how to use it, its limitations, and the techniques to make seamless integrated testing part of every build.
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Extreme Programming Explained, Kent Beck, page 57
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Assuming we accept the statement that all software systems must and will change over time, and also assuming that we all want our code to remain crisp, clean, and uncluttered of quick-and-dirty patches to accommodate the customer request du jour, how do we reconcile these conflicting requirements Refactoring is the answer! Refactoring, as defined by Fowler, is the restructuring of software by applying a series of internal changes that do not affect its observable behavior (Fowler 1999). Refactoring is one of the primary duties in agile methodologies such as eXtreme Programming. How can we facilitate constant refactoring of our code Some of the key ways this can become easier is to have coding standards, simple design, a solid suite of tests, and a continuous integration process (Beck 1999). In an eXtreme Programming team, the names of the refactorings replace type code with strategy can become as commonplace as design patterns such as the strategy pattern. Fowler s definitive Refactoring book provides a catalog of refactorings and when and how to apply them, just as the Gang of Four book (Gamma et al. 1995) is the definitive guide to design patterns. We are not going to tell you how you should write your Java programs; instead, we refer you to some of the books in the Bibliography, such as The Elements of Java Style (Vermeulen et al. 2000) and Bloch s Effective Java (2001). These should be on the desk of every Java developer. We address Ant coding standards in appendix D. Just as good Java code should be simple, testable, and readable, your build file should be simple, testable, and follow coding standards; the XP methodology applies to build files and processes as much as to the Java source. The remainder of this chapter is all about how to use Ant for testing. Continuous integration is a topic that will be touched upon in this chapter, but covered in more detail in chapter 16.
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