Software Engineering Micro Specialization | Course Module: Software Design Principles and Structured Analysis by Prakhar Chauhan | Learn Smarter
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Course Module: Software Design Principles and Structured Analysis

This module focuses on the fundamental principles of software design, emphasizing cohesion and coupling as essential attributes for quality and maintainability. It explores Structured Analysis and Structured Design (SASD) methodologies, highlighting the importance of Data Flow Diagrams (DFDs) for modeling system processes and data flows. The chapter provides comprehensive frameworks for assessing module strength and interdependence, guiding effective software architecture creation.

Sections

  • 1

    Course Module: Software Design Principles And Structured Analysis

  • 2

    Module Overview

    This module provides an introduction to the essential principles of software design, focusing on cohesion, coupling, and structured analysis methodologies.

  • 3

    Learning Objectives

    This section outlines the learning objectives for the Software Design Principles and Structured Analysis module, focusing on cohesion, coupling, and structured design methodologies.

  • 4

    Lecture 21: Classification Of Cohesion - Understanding Module Strength

    This section provides an in-depth classification of cohesion in software modules, emphasizing its impact on software design quality and maintainability.

  • 4.1

    Introduction To Cohesion: The Strength Within A Module

    This section explores the concept of cohesion in software modules, emphasizing its importance for maintainability, reusability, and understandability.

  • 4.2

    Detailed Classification Of Cohesion (From Best To Worst)

    This section classifies and evaluates the different types of cohesion in software design, identifying functional cohesion as the most desirable form and coincidental cohesion as the least.

  • 4.2.1

    Functional Cohesion (Ideal - Very High Cohesion)

    Functional cohesion signifies that all elements of a module contribute to a single, well-defined function, making it the ideal form of cohesion in software design.

  • 4.2.2

    Sequential Cohesion (High Cohesion)

    This section explores the concept of sequential cohesion, highlighting its importance in software design and examples of its application.

  • 4.2.3

    Communicational Cohesion (High Cohesion)

    Communicational cohesion is a key concept in software design that measures the degree to which different parts of a module share and act on the same data.

  • 4.2.4

    Procedural Cohesion (Medium Cohesion)

    Procedural cohesion occurs when the components of a module are grouped because they follow a specific sequence of execution.

  • 4.2.5

    Temporal Cohesion (Low Cohesion)

    Temporal cohesion groups module elements based on time-related execution, leading to low reusability and potential system fragility.

  • 4.2.6

    Logical Cohesion (Very Low Cohesion)

    This section discusses logical cohesion, the lowest form of cohesion where a module contains logically related but functionally distinct activities.

  • 4.2.7

    Coincidental Cohesion (Worst - Very Low Cohesion)

    Coincidental cohesion occurs when a module's functions are grouped randomly without any meaningful relationship, leading to poor software design.

  • 4.3

    Achieving High Cohesion

    This section focuses on the concept of cohesion in software design, highlighting its importance in achieving maintainable, reusable, and understandable software modules.

  • 5

    Lecture 22: Classification Of Coupling - Understanding Module Interdependency

    This lecture explores the concept of coupling in software design, categorizing its different types and discussing their implications on module interdependencies.

  • 5.1

    Introduction To Coupling: The Interdependence Between Modules

    This section introduces the concept of coupling in software design, emphasizing its significance and the various types that affect module interdependence.

  • 5.2

    Detailed Classification Of Coupling (From Best To Worst)

    This section offers a comprehensive classification of coupling in software design, delineating types from best to worst based on their impact on module interdependence and system maintainability.

  • 5.2.1

    Data Coupling (Ideal - Very Low Coupling)

    Data coupling involves modules interacting by passing only necessary data, optimizing modular independence.

  • 5.2.2

    Stamp Coupling (Low Coupling)

    Stamp coupling refers to a low coupling scenario where modules share complex data structures, passing entire records instead of specific data elements, leading to potential dependencies on the structure.

  • 5.2.3

    Control Coupling (Medium Coupling)

    Control coupling is a type of medium coupling where modules communicate through control flags or parameters, affecting how other modules operate.

  • 5.2.4

    External Coupling (Medium Coupling)

    External coupling refers to the dependency of modules on external entities, impacting software flexibility and portability.

  • 5.2.5

    Common Coupling (High Coupling)

    Common coupling refers to the scenario where multiple modules share global data, leading to high interdependencies and reduced system maintainability.

  • 5.2.6

    Content Coupling (Worst - Very High Coupling)

    Content coupling represents the highest level of interdependency between software modules, where one module directly modifies or accesses the internal data of another.

  • 5.3

    The Interplay Of Cohesion And Coupling (The Golden Rule Of Design)

    This section explores the critical software design principles of cohesion and coupling, emphasizing their importance for creating maintainable and high-quality systems.

  • 6

    Lecture 23: Introduction To Structured Analysis And Structured Design

    This section introduces Structured Analysis and Structured Design (SASD), emphasizing their roles in creating systematic methodologies for software development.

  • 6.1

    The Need For Structured Methodologies

    Structured methodologies are essential in software development to manage complexity and ensure consistency, especially in large systems.

  • 6.2

    Introduction To Structured Analysis (Sa)

    This section introduces Structured Analysis (SA), emphasizing its role in modeling functional requirements and data flow in software systems.

  • 6.3

    Introduction To Structured Design (Sd)

    This section introduces the fundamental principles of Structured Design (SD), emphasizing its role in developing modular software architectures and its relationship with Structured Analysis.

  • 6.4

    The Sasd Methodology Flow

    The SASD methodology provides a structured approach to software system analysis and design, outlining a linear progression from feasibility study to maintenance.

  • 7

    Lecture 24: Basics Of Data Flow Diagrams (Dfd) - The Language Of Data Flow

    This section introduces Data Flow Diagrams (DFDs), their purpose, core symbols, and fundamental rules for modeling data movement in systems.

  • 7.1

    What Are Data Flow Diagrams (Dfds)?

    Data Flow Diagrams (DFDs) are graphical tools that illustrate the flow of data within an information system, showing how data is input, processed, stored, and output.

  • 7.2

    The Four Basic Symbols Of Dfd (Yourdon-Demarco Notation - Commonly Used In Nptel)

    This section introduces the four basic symbols of Data Flow Diagrams (DFDs), which are crucial for illustrating data flow and processes in system modeling.

  • 7.3

    Fundamental Rules And Conventions Of Dfds

    This section outlines the fundamental rules and conventions that govern Data Flow Diagrams (DFDs), emphasizing their importance in accurately representing system processes.

  • 8

    Lecture 25: Developing Dfd Models - From Context To Detailed Levels

    This section outlines the structured development of Data Flow Diagrams (DFDs), emphasizing the importance of progressively detailing the system from context to lower levels.

  • 8.1

    The Dfd Leveling Concept: Decomposing Complexity

    This section explains the level decomposition of Data Flow Diagrams (DFDs), illustrating how to manage system complexity through hierarchical modeling.

  • 8.2

    Step-By-Step Development Of A Dfd Model

    This section outlines the process of creating Data Flow Diagrams (DFDs) by systematically decomposing a system into multiple levels, starting from a high-level context diagram.

  • 8.3

    Example Walkthrough (E.g., Online Order Processing System)

  • 8.4

    Best Practices For Dfd Development

    This section outlines best practices for developing Data Flow Diagrams (DFDs), emphasizing clarity and consistency.

Class Notes

Memorization

What we have learnt

  • Cohesion is essential for m...
  • Coupling reflects the inter...
  • Structured Analysis and Str...

Final Test

Revision Tests