CD25301 Object Oriented Analysis and Design – Semester III – CSD

Subject Code & Name: CD25301 – Object Oriented Analysis and Design

Regulation: R-2025

Semester: III (Third Semester)

Branch: B.E. Computer Science and Design (CSD)

Credits / L-T-P: 4 Credits | L-T-P: 3-0-2

Course Objectives

To provide a strong foundation in object-oriented analysis and design, enabling learners to model, design, and develop scalable software systems using modern principles, UML, and design patterns.
To equip students with practical skills in requirements engineering, testing, DevOps, and cloud-native architectures, aligned with current industry practices and emerging trends.

Full Unit-wise Syllabus

Unit I – Object-Oriented Principles and Requirements Engineering

OOP Concepts, Object Relationships & Benefits, SDLC, Agile & Scrum Basics. Requirements Engineering & Design: Functional & Non-functional Requirements, User Stories, DDD Basics, UML (Use Case, Class, Object Diagrams).

Practical: Develop Requirements and User Stories for a Real System (Banking/Library) – Tool: Trello; Design UML Diagrams for the System (Use Case, Class, Object) – Tool: StarUML

Unit II – Advanced UML Modeling & System Design

CRC Modeling, Sequence & Communication Diagrams, Activity & State Chart Diagrams, SOLID Principles, GRASP Patterns, Coupling & Cohesion. Package, Component & Deployment Diagrams, API-first Design, RESTful Modeling Basics.

Practical: Prepare CRC Cards and Develop Sequence & Activity Diagrams – Tool: Lucidchart or StarUML; Model RESTful API and Design Deployment Diagram for a Distributed System – Tool: Postman and StarUML

Unit III – Design Patterns & Architectural Styles

Design Patterns: Creational, Structural, Behavioral, Anti-patterns. Architectures: MVC, Layered, Clean, Hexagonal, Microservices, Containerization (Docker).

Practical: Implement Factory and Observer Design Patterns – Tool: Eclipse IDE or Visual Studio Code; Develop MVC-based Mini Application and Compare Monolithic vs Microservices Design – Tool: Spring Boot or Node.js

Unit IV – Testing, Quality & DevOps Practices

OO Testing, Unit Testing (JUnit/PyTest), TDD, BDD, Refactoring, Code Smells, Quality Metrics. Git, CI/CD, DevOps & DevSecOps, Secure Coding.

Practical: Write Unit Test Cases and Refactor Code – Tool: JUnit or pytest; Git Branching, Merging and CI/CD Demonstration – Tool: Git and GitHub

Unit V – Enterprise Application Design & Cloud-Native Systems

Enterprise Architecture, Monolithic vs Microservices, Distributed Systems, Service Decomposition & DDD. REST & Messaging, API Gateway, Data Management, Scalability, Cloud-native Deployment, Observability.

Practical: Design Microservice Boundaries and Create Component Diagram – Tool: Lucidchart or Draw.io; Containerization Demo and Architecture Documentation – Tool: Docker and Google Docs

Unit VI – Emerging Trends in OOAD & Industry Practices

AI-assisted Design, Model-driven Engineering, Low-code/No-code, Secure Architecture & Zero Trust. Sustainable & Ethical Design, Documentation Standards, UML Automation, Project Integration.

Practical: UML Tool-based Diagram Generation and Architecture Documentation – Tool: StarUML or Lucidchart; Security Risk Identification and Mini Project Review Presentation – Tool: Microsoft PowerPoint or Google Slides

Course Outcomes (COs)

CO1: Describe the fundamental concepts of object-oriented analysis and design, including requirements engineering, UML modeling, design principles, and modern software development practices.
CO2: Analyze software requirements and system designs using object-oriented principles, UML diagrams, and design patterns to understand system structure and behavior.
CO3: Evaluate software architectures, testing strategies, and DevOps practices to assess quality, scalability, and maintainability in real-world applications.
CO4: Design scalable and maintainable software systems by applying object-oriented design principles, UML modeling, architectural patterns, and cloud-native development practices.

Assessment Pattern (Quick Note)

Weightage: Continuous Assessment 50% | End Semester Examinations 50%
Internal methodology: Activities 10% (Assignments 30, Quiz 10, Project based learning 25, Flipped Classroom 10, Review of GATE questions 25), Internal Theory Examinations 30%, Internal Laboratory Examination 10%

Source: Official Anna University – B.E. Computer Science and Design R-2025 Syllabus
Last Updated: September 2026

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