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Java Best Practices and Design Patterns

COURSE TYPE

Intermediate

Course Number

516

Duration

4 Days
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Solve real-world software development problems, and deliver responsive applications that are fast and reliable. In this training course, you learn how to leverage Java best practices, avoid pitfalls, perform industry-standard software development techniques, use design patterns to implement proven solutions to reoccurring problems, and apply idioms and patterns to improve your Java code.

You Will Learn How To

  • Employ best practices to build reliable and scalable Java applications
  • Effectively apply test-driven development to enhance program maintainability
  • Solve architectural problems with proven design patterns
  • Employ advanced Java APIs for multi-threaded programming

Important Course Information

Requirements:

  • Knowledge at the level of:
  • Three to six months of Java programming experience
  • You should be able to:
    • Understand Java classes, the inheritance model, polymorphism, and encapsulation
    • Use fundamental standard edition Java APIs
    • Apply object-oriented analysis and design, including defining classes and creating objects

Course Outline

  • Effective Programming in Java
  • Clarifying the goals of best practices
  • Identifying the key characteristics of high-quality software
  • Organizing classes, packages and subsystems into layers
  • Designing to the principles of SOLID
  • Applying Test-Driven Development

Exploiting a testing framework

  • Composing and maintaining JUnit tests
  • Taking advantage of advanced JUnit features
  • Testing in the presence of exceptions

Monitoring software health using logging libraries

  • Configuring logging with log4j and SLF4J
  • Minimizing the impact of logging on performance

Creating matchers and mock objects

  • Writing custom Hamcrest matchers
  • Testing with fake objects and mocks
  • Leveraging Design Patterns

Employing common design patterns

  • Observer
  • Iterator
  • Template method
  • Strategy
  • State
  • Singleton
  • Data Accessor Object
  • Data Transfer Object
  • Composite
  • ServiceLocator
  • Proxy
  • Factory

Refactoring legacy code

  • Identifying reasons to change software
  • Clarifying the mechanics of change
  • Writing tests for legacy classes and methods
  • Extending Applications with Java Meta Programming

Improving type safety with generics and enum types

  • Creating generic classes and methods
  • Navigating generic class hierarchies
  • Implementing enum types for fixed sets of constants

Adding metadata by writing annotations

  • Leveraging the built-in and custom annotations
  • Annotating with meta-annotations

Modifying runtime behavior with reflection

  • Retrieving class and method data dynamically
  • Flagging methods with naming conventions
  • Adding information to code with annotations
  • Assessing disadvantages of reflection
  • Tuning for Maximum Performance

Measuring and improving performance

  • Assessing response time
  • Conducting load and stress tests
  • Specifying strategies for improving performance

Exploiting garbage collectors

  • Exploring garbage collection metrics
  • Choosing appropriate algorithms for garbage collection
  • Avoiding the hazards of finalizers
  • Preventing memory leaks with reference types

Taking full advantage of threads

  • Writing reliable thread-safe code
  • Avoiding race hazards and deadlocks
  • Employing the Executors framework

Bulletproofing a threaded application

  • Synchronizing and sharing data between threads
  • Managing the performance implications of synchronization

Exploring alternatives to synchronization

  • Taking advantage of the volatile modifier
  • Eliminating data sharing with ThreadLocal variables
  • Architecting for Separation of Concerns

Allocating responsibilities to components

  • Translating method calls with the adaptor pattern
  • Adding behavior with a proxy

Centralizing the creation of objects

  • Employing factories to achieve loose coupling
  • Implementing Inversion of Control (IoC)
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Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrolment: No advance payment required to reserve your seat.
Tuition due 30 days after you attend your course.

In the Classroom

Live, Online

Private Team Training

888-843-8733

info@LearningTree.ca

Live Chat

In the Classroom — OR — Live, Online

Tuition — Standard: $3285   Government: $2890

Jun 11 - 14 ( 4 Days)
9:00 AM - 4:30 PM EDT Rockville, MD / Online (AnyWare) Rockville, MD / Online (AnyWare) Reserve Your Seat

Jul 23 - 26 ( 4 Days)
9:00 AM - 4:30 PM EDT New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

Oct 8 - 11 ( 4 Days)
9:00 AM - 4:30 PM EDT Alexandria, VA / Online (AnyWare) Alexandria, VA / Online (AnyWare) Reserve Your Seat

Jan 21 - 24 ( 4 Days)
9:00 AM - 4:30 PM EST New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

Guaranteed to Run

When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.

Private Team Training

Enrolling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 1-888-843-8733 or Click here »

This event has been added to your cart.

Tuition

Standard

Government

In Classroom or
Online

Standard

$3285

Government

$2890

Private Team Training

Contact Us »

Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online any time after class.

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Training Hours

Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm

“Our Java programming instructor was highly qualified...his presentation was informative and precise. He even took the time to answer the questions of individual students. Great Job!”

- R. Storey, Software Engineer II
GTECH Corp

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