By Bill Dudney, Jonathan Lehr
Get away from universal coding pitfalls with this exact publication of confirmed Jakarta missteps and solutionsThe risks of Jakarta pitfalls are in all places and numerous builders have already been trapped. those blunders have not on time schedules, allowed significant insects to get into the clients' fingers, or ended in quite a few rewrites in upkeep. fortunately, you do not have to be the subsequent sufferer. This finished ebook captures one of the most universal pitfalls that take place with Jakarta and gives you with the strategies to flee them. concentrating on Struts, Ant, Cactus, and JUnit, the authors describe each one pitfall intimately, clarify how builders have walked into the capture, and talk about the typical indicators and effects. They then arm you with a confirmed resolution for every pitfall and take you step by step throughout the strategy of changing from error-ridden to pitfall-free code. after all, the pitfalls and strategies offered within can assist you construct greater functions which are more straightforward to keep up. This ebook will prevent from the disappointment of getting to spend hours operating your means out of pitfalls equivalent to: * Failing to isolate checks or matters in Cactus and JUnit* Overloading Struts ActionMappings* Calculating derived values in JSPs* Duplicating formatting and kind conversion code in Struts motion types * construction subprojects* appearing enterprise good judgment in Struts ActionFormsThe spouse website includes the entire code examples and options within the e-book. invoice DUDNEY is a Java architect with item structures workforce. He has been construction J2EET purposes and software program for 5 years and has been doing disbursed computing for nearly fourteen years. he's the coauthor of J2EE AntiPatterns (from Wiley).JONATHAN LEHR is an autonomous advisor with greater than two decades of expertise in software program improvement and coaching. He has designed e-commerce purposes for Fortune a hundred businesses.
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Additional info for Jakarta Pitfalls: Time-Saving Solutions for Struts, Ant, JUnit, and Cactus (Java Open Source Library Series)
The test needs to assert that the intent of the class as laid out in its API is actually being met, meaning that the hashCode is being reset when a value changes. If tests are in place that assert the intent of the StringPair API, then when bugs arise in the Big Process, they can be attributed confidently to something in the Big Process code. Testing: Cactus and JUnit INCREMENTAL TEST IMPROVEMENT If a bug exposed in a higher-level test turns out to be in a lower-level component (as in the earlier StringPair, Big Process example), then use that occasion to improve the test of the lower-level component.
In a typical test of an EJB there is usually more than one thing that can and should be asserted. In an earlier example, the Shopping Cart Session Bean that returns the list of items in the cart was tested. Instead of strictly applying the unit test definition, the test asserted several things that should be true about that collection of objects in one test. This approach, while not purely a unit test, provides a practical approach to testing EJBs. Each invocation of the getItems method takes considerable time to set up and execute; if only one small part of the intent of that method were executed with each test, the whole test suite would take too long to run.
Any tests that are written for the Invoice bean should be in a different test class altogether. In some cases, the code being tested is just too complex to test in just a few asserts. As argued earlier, if the subject code is doing too much, the subject code should probably be refactored into more methods that each do less work. In some cases it will not be possible for you to refactor the test 37 38 Chapter 1 subject code. Whether you are able to change the subject or not, you should strive to keep the test methods as focused as possible so that your test code will stay out of this pitfall.