Software Architecture
Using MDA Approach
Using MDA Approach
10 Day(s)
🎯 LEARNING OBJECTIVES
By the end of these lectures, you will be able to:
Understand software architecture principles, components, and design decisions.
Apply Model-Driven Architecture (MDA) and distinguish between PIM and PSM.
Use UML and C4 to model and communicate software architecture.
Evaluate quality attributes and architectural trade-offs.
Apply architecture governance, standards, and quality reviews.
Select appropriate architecture and design patterns.
Identify technical debt and improve architecture through refactoring.
🧠 PREREQUISITES
Basic knowledge of software engineering and SDLC.
Familiarity with object-oriented programming and software design principles.
Basic understanding of requirements, UML diagrams, and application components.
Awareness of software testing and version control.
Software architecture defines the fundamental structure of a software system, including its major components, their responsibilities, interactions, and key design decisions. It provides the blueprint that connects business requirements with technical implementation, ensuring the system is maintainable, scalable, secure, and aligned with its intended goals. For more details, click here.
Model-Driven Architecture (MDA) emphasizes using models as primary artifacts throughout software development. It separates business and application logic from platform-specific implementation through models such as Platform-Independent Models (PIMs) and Platform-Specific Models (PSMs), helping teams improve consistency, automation, portability, and maintainability.For more details, click here.
UML and C4 provide complementary approaches to visualizing software systems. UML offers detailed diagrams for modeling structure and behavior, while the C4 model presents architecture through four levels: Context, Containers, Components, and Code. Understanding when to use each approach helps teams communicate architecture clearly to different audiences. For more details, click here.
Architecture quality attributes describe how well a software system operates beyond its functional capabilities. Attributes such as performance, security, availability, scalability, reliability, and maintainability influence architectural decisions and trade-offs. Defining measurable quality requirements early helps architects design solutions that meet both business expectations and operational needs. For more details, click here.
Architecture quality attributes describe how well a software system operates beyond its functional capabilities. Attributes such as performance, security, availability, scalability, reliability, and maintainability influence architectural decisions and trade-offs. Defining measurable quality requirements early helps architects design solutions that meet both business expectations and operational needs. For more details, click here.
Architecture and design patterns provide proven approaches to recurring software design problems. Architectural patterns, such as layered architecture, microservices, and event-driven architecture, guide system-wide organization, while design patterns, such as Factory, Strategy, and Observer, address more localized design challenges. Selecting appropriate patterns helps balance complexity, flexibility, performance, and maintainability. For more details, click here.
Architecture refactoring improves the internal structure of an existing system without changing its intended external behavior. It addresses architectural erosion, excessive dependencies, technical debt, and limitations in scalability or maintainability. Through incremental changes, supported by automated tests and continuous quality assessment, teams can evolve systems while reducing the risks associated with large-scale redesigns. For more details, click here.