Advanced C++ Software Design Training in Copenhagen, Denmark

The Advanced C++ Software Design Training focuses on designing robust, scalable, and maintainable C++ applications using modern C++ standards and proven software design principles. The course emphasizes architecture, design patterns, SOLID principles, dependency management, and testable design, rather than just language syntax.

Modern C++ Design Philosophy

• Evolution of C++ design practices

• Modern C++ vs legacy design

• C++ Core Guidelines

• Design for maintainability and longevity

SOLID Principles in C++

• Single Responsibility Principle in C++

• Open–Closed Principle using templates and polymorphism

• Liskov Substitution Principle pitfalls

• Interface Segregation using abstract classes

• Dependency Inversion and abstraction layers

Object Lifetime & Ownership Design

• Ownership models and boundaries

• RAII as a design tool

• Smart pointer design strategies

• Value semantics vs reference semantics

• Avoiding shared ownership pitfalls

API & Library Design in C++

• Designing clean and stable interfaces

• Header file best practices

• ABI stability and versioning

• Error handling in public APIs

• Documentation-driven design

Advanced Design Patterns in C++

• Modern implementations of classic patterns

• Factory, Strategy, and Observer patterns

• Builder and Prototype patterns

• Policy-based design

• CRTP (Curiously Recurring Template Pattern)

Generic Programming & Compile-Time Design

• Template-based design patterns

• Concepts and constraints (C++20)

• constexpr and compile-time computation

• Type traits and metaprogramming for design

• Reducing runtime overhead through compile-time desig

Dependency Management & Decoupling

• Reducing compile-time dependencies

• Forward declarations and Pimpl idiom

• Dependency injection in C++

• Plugin and modular architectures

• Managing large codebases

Concurrency-Oriented Design

• Designing thread-safe components

• Ownership and synchronization strategies

• Task-based vs thread-based design

• Avoiding data races and deadlocks by design

• Designing for scalability

Error Handling & Robust Software Design

• Exception safety levels

• Designing for failure

• Error codes vs exceptions

• std::optional, std::variant, std::expected

• Designing reliable recovery strategies

Performance-Oriented Software Design

• Designing for cache efficiency

• Allocation-aware design

• Zero-cost abstractions

• Trade-offs between abstraction and performance

• Measuring design impac

Testable & Maintainable C++ Design

• Designing for unit testing

• Mocking and fakes in C++

• Separation of concerns

• Refactoring strategies

• Code reviews and design critiques

Architecture Case Study

• Applying design principles and patterns

• Architecture documentation

• Design review and improvement

• Best practices discussion

Hands-on Exercises

Summary and Conclusion