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Script Name Using Aspect-Oriented Programming to Maintain Legacy Java Apps In an enterprise environment, you can easily end up in a tangle of modules with a number of third-party libraries and frameworks. While a number of tools are available to aid you in comprehending complex programs, most are expensive and time-consuming to learn. Aspect-oriented programming can be applied to a wide range of programming scenarios, including the comprehension and maintenance of legacy applications. Demystifying Extreme Programming: Just-in-time design People who aren't familiar with XP are bothered by the concept of just-in-time (JIT) design -- designing and implementing what you know you need right now and not worrying about future design issues until absolutely necessary. While this approach might seem unwise or even reckless, XP advocate Roy Miller wraps up his series by showing you how safe and easy JIT design is -- and how it just might revolutionize the way you write code. Scaling Web services and applications with JavaGroups As the J2EE platform has matured, it has opened up the opportunity to deploy commodity servers in networked cluster configurations for scaling of Web services and Web applications at the Web tier. These commodity servers, interconnected through commodity LAN hardware, can provide cost-effective clustering solutions. The last piece of the clustering puzzle is in the software. In this seriesSing Li examines three open source software substrates that can enable high-impact Web tier clustering, beginning with JavaGroups. Mash that trash -- Incremental compaction in the IBM JDK Garbage Collector This article discusses incremental compaction, a new feature in the memory management component of IBM JDK 1.4.0. Incremental compaction is a way of spreading compaction work across different garbage collection cycles, thereby reducing pause times. The authors discuss the need for incremental compaction, the compaction phases at a high level, and some runtime parameters. They also explain how to interpret changes in the verbosegc output. Implementing lazy load design pattern using dynamic proxy In P of EAA, Martin Fowler explains the Lazy Load pattern. In essence, this is the design pattern where you do not load all the data from the database initially, but fetch the data on demand, lazily. The advantage of this way of implementing this is that you do not fetch unnecessary data, but only fetch data as the demand arises. Martin Fowler explains various ways to implement this lazy load functionality. One of the approaches he mentions is using the Virtual Proxy pattern. Java has a very powerful implementation of the Virtual Proxy pattern from the 1.3 specification called the Dynamic Proxy. This document explains how to leverage on the Dynamic Proxy classes to implement a generic LazyLoader that can be used across multiple types of objects. Diagnosing Java code: The case for static types Love or hate it, static type checking can make code more robust. Programming languages are moving away from static type checking, but it is too powerful a debug resource to abandon. Static type checking can be one of the key weapons in a powerful arsenal against introducing and for detecting bugs. This article explains why we should be glad that the Java language supports it, and discusses how it can be made even better. Java programming code page considerations Every Java programmer should be aware of the problem of code pages vs. Java Unicode. This article describes some pitfalls to avoid with code page and Unicode conversions and provides example fixes for the problems. Armed with this informaion, you should be able to create applications that are more truly platform and code page independent. Weighing in on Java native compilation Learn the pros and cons of generating native code from Java source. This article includes the basics of code compilation, including a brief overview of why many developers are employing Java native compilers for their applications. Concurrent programming in the Java language One of the most important features of the Java language is support for multithreaded (also called concurrent) programming. This tutorial introduces you to the proper use of multiple threads in a Java program, using sample programs to illustrate these concepts. Before taking this course, you should have a general knowledge of Java programming; the context and level of knowledge used in this tutorial is the equivalent of an undergraduate operating systems course. Exploiting ThreadLocal to enhance scalability The ThreadLocal class appeared with little fanfare in version 1.2 of the Java platform. While support for thread-local variables has long been a part of many threading facilities, such as the Posix pthreads facility, the initial design of the Java Threads API lacked this useful feature. Further, the initial implementation was quite inefficient. For these reasons, ThreadLocal gets relatively little attention, but it can be very handy for simplifying the development of thread-safe concurrent programs. This article examines ThreadLocal and offers tips for exploiting its power.

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