博客來Dodge the common mistakes that even senior developers make, take full advantage of static analysis tools, and deliver robust and error-free Java code.
Whenever you make a mistake writing Java, it’s almost guaranteed that someone else has made it before! In 100 Java Mistakes and How To Avoid Them you’ll learn about the common and the not-so-common antipatterns, errors, and tricky bits that trip up almost every Java developer. Inside 100 Java Mistakes and How To Avoid Them you will learn how to:- Write better Java programs
- Recognize common mistakes during programming
- Create fewer bugs and save time for debugging and testing
- Get help from static analyzers during programming
- Configure static analysis tools to reduce the number of false reports
- Extend static analysis tools with custom plugins
Each Java mistake in this handy guide comes with an illustrative code sample, an explanation of why the mistake occurs, and an actionable ＂ways to avoid this＂ section to help you dodge the error. Plus, you’ll benefit from useful static analysis sidebars that let you know when mistakes will--and won’t--be spotted by static analysis tools. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. Foreword by Cay Horstmann. About the technology Minor bugs in development can become major problems in production. It’s much better to spot and fix your mistakes before they get that far! This one-of-a-kind book shines a light on the most common Java slip-ups and shows you exactly how to avoid making them in the first place. About the book100 Java Mistakes and How To Avoid Them highlights 100 Java coding errors--from beginner missteps to mistakes even Java experts don’t know they’re making. Each case includes clear examples to show you what to look for and concrete troubleshooting advice. You’ll learn to use static analysis tools like IntelliJ IDEA and SonarLint to ensure you’re consistently delivering exceptional Java, discover how unit tests and defensive coding can keep your code clean, and even learn to write your own bug-busting plugins. What’s inside
- Recognize bugs and antipatterns during programming
- Highly-effective debugging and testing
- Get help from static analyzers
2 Expressions
3 Program structure
4 Numbers
5 Common exceptions
6 Strings
7 Comparing objects
8 Collections and maps
9 Library methods
10 Unit testing
A Static analysis annotations
B Extending static analysis tools
