Professional Software Engineering – Design, Architecture & Best Practices

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Trainer: Gunnar Bless

Dauer: 3 Tage

Zielgruppe:

Das Seminar richtet sich an Softwareentwicklerinnen und Softwareentwickler, Software Engineers sowie technisch orientierte Fachkräfte aus Forschung und Industrie, die ihre Kenntnisse in Softwaredesign, Architektur und professioneller Softwareentwicklung vertiefen möchten.

Voraussetzungen: Grundlegende Programmierkenntnisse und erste praktische Erfahrungen in der Softwareentwicklung sind empfehlenswert.

in diesem praxisorientierten, dreitägigen Online-Seminar lernen die Teilnehmenden moderne Methoden und bewährte Praktiken des Software Engineerings kennen. Im Mittelpunkt stehen die Entwicklung wartbarer und skalierbarer Softwarearchitekturen, hohe Codequalität sowie effiziente Entwicklungs- und Testprozesse.

Professional Software Engineering – Design, Architecture & Best Practices

Software Design & Architecture

Software Design Principles
- SOLID principles and design patterns
- Clean code practices and refactoring
- Code smells and technical debt management
- Design by contract and defensive programming
- Separation of concerns and modularity
Software Architecture Patterns
- Layered and hexagonal architecture
- Microservices vs monolithic design
- Event-driven and message-oriented architecture
- Domain-driven design (DDD) principles
- CQRS and event sourcing patterns
System Design & Scalability
- Scalability patterns and load balancing
- Caching strategies and data partitioning
- Database design and normalization
- CAP theorem and distributed systems
- Performance optimization techniques
API Design & Integration
- RESTful API design principles
- GraphQL and API versioning strategies
- Service contracts and API documentation
- Integration patterns and middleware
- Error handling and resilience patterns

Development Practices & Quality Assurance

Testing Strategies
- Test-driven development (TDD) and BDD
- Unit, integration, and end-to-end testing
- Test automation and continuous testing
- Mock objects and test doubles
- Property-based and mutation testing
Code Quality & Review
- Static analysis and code metrics
- Peer review processes and tools
- Coding standards and style guides
- Documentation and knowledge sharing
- Legacy code maintenance strategies
Version Control & Collaboration
- Git workflows and branching strategies
- Code collaboration and conflict resolution
- Release management and semantic versioning
- Open source contribution practices
- Team coordination and communication
Performance & Optimization
- Profiling and performance monitoring
- Memory management and optimization
- Database query optimization
- Caching and content delivery networks
- Scalability testing and capacity planning