Advanced Java
Techniques
Java is a powerful and versatile programming language that
continues to evolve, offering developers advanced techniques to write
efficient, scalable, and high-performing applications. This
presentation will dive into some of the most cutting-edge Java
features and methodologies.
Multithreading and
Concurrency
Thread Management
Effectively creating, starting, and managing
multiple threads to leverage the full power of
modern hardware.
Synchronization
Securing shared resources and avoiding race
conditions through the use of locks, semaphores,
and other concurrency control mechanisms.
Deadlock Avoidance
Designing concurrency-safe code that prevents
deadlocks and other threading pitfalls for robust,
bug- free applications.
1
2
3
Functional Programming with Lambdas
Lambda Expressions
Leveraging anonymous functions
to write more concise, expressive,
and functional code.
Functional Interfaces
Defining interfaces with a single
abstract method to enable
functional programming patterns.
Method References
Using method references as a
shorthand for lambda expressions
to simplify code even further.
Streams and Parallel
Processing
Declarative Data
Processing
Leveraging the Stream
API to express complex
data transformations in
a concise, readable
manner.
Parallelism
Harnessing the power of
multiple cores and
threads to speed up
computationally
intensive tasks.
Lazy Evaluation
Optimizing performance
by deferring stream
operations until the last
possible moment.
Functional
Composition
Chaining multiple
stream operations
together to create
powerful data
processing pipelines.
1 2
3 4
Inversion of Control
Allowing the framework
to manage the lifecycle
and wiring of
application
components.
Loose Coupling
Promoting modularity
and testability by
decoupling classes from
their dependencies.
Annotation-based
Configuration
Leveraging Java annotations
to simplify the configuration
of beans and their
dependencies.
Test Isolation
Mocking dependencies
to enable unit testing of
individual components
in isolation.
Dependency Injection
with Spring
Test-Driven Development (TDD)
Write Tests First
Define the expected
behavior of your code
before implementation.
Refactor Fearlessly
Safely improve the design
of your code with a
comprehensive test suite.
Rapid Feedback
Instantly know when
you've broken existing
functionality.
Living
Documentation
Tests serve as a clear,
executable specification
of your application.
Refactoring and Design
Patterns
Identify Smells
Recognize anti-patterns and areas of the codebase
that need improvement.
Apply Patterns
Utilize well-known design patterns to address
common design problems.
Refactor Safely
Improve the internal structure of the code
without changing its external behavior.
1
2
3
Advanced java techniques_advanced java-programming_Varshini.R.pptx

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Advanced java techniques_advanced java-programming_Varshini.R.pptx

  • 1. Advanced Java Techniques Java is a powerful and versatile programming language that continues to evolve, offering developers advanced techniques to write efficient, scalable, and high-performing applications. This presentation will dive into some of the most cutting-edge Java features and methodologies.
  • 2. Multithreading and Concurrency Thread Management Effectively creating, starting, and managing multiple threads to leverage the full power of modern hardware. Synchronization Securing shared resources and avoiding race conditions through the use of locks, semaphores, and other concurrency control mechanisms. Deadlock Avoidance Designing concurrency-safe code that prevents deadlocks and other threading pitfalls for robust, bug- free applications. 1 2 3
  • 3. Functional Programming with Lambdas Lambda Expressions Leveraging anonymous functions to write more concise, expressive, and functional code. Functional Interfaces Defining interfaces with a single abstract method to enable functional programming patterns. Method References Using method references as a shorthand for lambda expressions to simplify code even further.
  • 4. Streams and Parallel Processing Declarative Data Processing Leveraging the Stream API to express complex data transformations in a concise, readable manner. Parallelism Harnessing the power of multiple cores and threads to speed up computationally intensive tasks. Lazy Evaluation Optimizing performance by deferring stream operations until the last possible moment. Functional Composition Chaining multiple stream operations together to create powerful data processing pipelines. 1 2 3 4
  • 5. Inversion of Control Allowing the framework to manage the lifecycle and wiring of application components. Loose Coupling Promoting modularity and testability by decoupling classes from their dependencies. Annotation-based Configuration Leveraging Java annotations to simplify the configuration of beans and their dependencies. Test Isolation Mocking dependencies to enable unit testing of individual components in isolation. Dependency Injection with Spring
  • 6. Test-Driven Development (TDD) Write Tests First Define the expected behavior of your code before implementation. Refactor Fearlessly Safely improve the design of your code with a comprehensive test suite. Rapid Feedback Instantly know when you've broken existing functionality. Living Documentation Tests serve as a clear, executable specification of your application.
  • 7. Refactoring and Design Patterns Identify Smells Recognize anti-patterns and areas of the codebase that need improvement. Apply Patterns Utilize well-known design patterns to address common design problems. Refactor Safely Improve the internal structure of the code without changing its external behavior. 1 2 3