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Aspect-oriented programming (AOP) is one of the technologies of the moment in the programming space. AOP lets you implement crosscutting logic that is, logic that applies to many parts of your application in a single place, and then have that logic automatically applied right across the application. AOP is enjoying an immense amount of time in the limelight at the moment; however, behind all the hype is a truly useful technology that has a place in any Java developer s toolbox. There are two main kinds of AOP implementation. Static AOP such as AspectJ (www.aspectj.org), , provides a compile-time solution for building AOP-based logic and adding it to an application. Dynamic AOP, such as that in Spring, allows crosscutting logic to be applied arbitrarily to any other code at runtime. Finally, in Spring 2.5, you can use load-time dynamic weaving, which applies the crosscutting logic when the class loader loads the class. Both kinds of AOP have their places, and indeed, Spring provides features to integrate with AspectJ. This is covered in more detail in s 5 and 6. There are many applications for AOP. The typical one given in many traditional examples involves performing some kind of tracing, but AOP has found many more ambitious uses, even within the Spring Framework itself, particularly in transaction management. Spring AOP is covered in depth in s 5 7, where we show you typical uses of AOP within the Spring Framework and your own application. We also look into the issue of performance and consider some areas where traditional technologies can work better than AOP.

Data access and persistence seem to be the most often discussed topics in the Java world. It seems that you cannot visit a community site such as www.theserverside.com without being bombarded with articles and blog entries describing the latest, greatest data access tool. Spring provides excellent integration with a choice selection of these data access tools. Moreover, Spring makes the use of JDBC, a viable option for many projects thanks to its simplified wrapper APIs around the standard JDBC API. As of Spring version 1.1, you have support for JDBC, Hibernate, iBATIS, and Java Data Objects (JDO). The JDBC support in Spring makes building an application on top of JDBC realistic, even for complex applications. The support for Hibernate, iBATIS, and JDO makes their already simple APIs even simpler, thus easing the burden on developers. When using the Spring APIs to access data via

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his final chapter shows a real-life example of how I have helped a customer implement an ALM solution on VSTS. The example does not show implementation of all the ALM practices, but illustrates how you can use the assessment tools to implement an ALM process on VSTS. This example is compiled from a collection of experiences from several projects. The events described here are an amalgam of those from several real enterprises. Although this chapter s example is real, some of the reports are not from actual projects, because I needed to maintain client confidentiality. In those cases, I have used screenshots from a demo setup at Know IT and also some provided to me by Conchango, makers of the Scrum for Team System process template.

By default, all beans in Spring are singletons. This means that Spring maintains a single instance of the bean, all dependent objects use the same instance, and all calls to BeanFactory.getBean() return the same instance. We demonstrated this in the previous example shown in Listing 3-33, where we were able to use identity comparison (==) rather than the equals() comparison to check if the beans were the same. The term singleton is used in Java to refer to two distinct concepts: an object that has a single instance within the application, and the singleton design pattern. We refer to the first concept as singleton and to the singleton pattern as Singleton. The Singleton design pattern was popularized in the seminal Design Patterns: Elements of Reusable Object Oriented Software by Erich Gamma, Richard Helm, Ralph Johnson, and John M. Vlissides (Addison-Wesley, 1995). The problem arises when people confuse the need for singleton instances with the need to apply the singleton pattern. Listing 3-34 shows a typical implementation of the singleton pattern in Java. Listing 3-34. The Singleton Design Pattern public class Singleton { private static Singleton instance = new Singleton(); private Singleton() { } public static Singleton getInstance() { return instance; } } This pattern achieves its goal of allowing you to maintain and access a single instance of a class throughout your application, but it does so at the expense of increased coupling. Your application code must always have explicit knowledge of the Singleton class in order to obtain the instance completely removing the ability to code to interfaces. In reality, the singleton pattern is actually two patterns in one. The first, and desired, pattern involves maintenance of a single instance of an object. The second, and less desirable, is a pattern for object lookup that completely removes the possibility

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