• Skip to main content
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

Computer Notes

Library
    • Computer Fundamental
    • Computer Memory
    • DBMS Tutorial
    • Operating System
    • Computer Networking
    • C Programming
    • C++ Programming
    • Java Programming
    • C# Programming
    • SQL Tutorial
    • Management Tutorial
    • Computer Graphics
    • Compiler Design
    • Style Sheet
    • JavaScript Tutorial
    • Html Tutorial
    • Wordpress Tutorial
    • Python Tutorial
    • PHP Tutorial
    • JSP Tutorial
    • AngularJS Tutorial
    • Data Structures
    • E Commerce Tutorial
    • Visual Basic
    • Structs2 Tutorial
    • Digital Electronics
    • Internet Terms
    • Servlet Tutorial
    • Software Engineering
    • Interviews Questions
    • Basic Terms
    • Troubleshooting
Menu

Header Right

Home » Software Engineering » Data Design in Software Engineering
Next →
← Prev

Data Design in Software Engineering

By Dinesh Thakur

Data design is the first design activity, which results in less complex, modular and efficient program structure. The information domain model developed during analysis phase is transformed into data structures needed for implementing the software. The data objects, attributes, and relationships depicted in entity relationship diagrams and the information stored in data dictionary provide a base for data design activity. During the data design process, data types are specified along with the integrity rules required for the data. For specifying and designing efficient data structures, some principles should be followed. These principles are listed below.

  1. The data structures needed for implementing the software as well-as the operations that can be applied on them should be identified.
  2. A data dictionary should be developed to depict how different data objects interact with each other and what constraints are to be imposed on the elements of data structure.
  3. Stepwise refinement should be used in data design process and detailed design decisions should be made later in the process.
  4. Only those modules that need to access data stored in a data structure directly should be aware of the representation of the data structure.
  5. A library containing the set of useful data structures along with the operations that can be performed on them should be maintained.
  6. Language used for developing the system should support abstract data types.

The structure of data can be viewed at three levels, namely, program component level, application level, and business level. At the program component level, the design of data structures and the algorithms required to manipulate them is necessary, if high-quality software is desired. At the application level, it is crucial to convert the data model into a database so that the specific business objectives of a system could be achieved. At the business level, the collection of information stored in different databases should be reorganized into data warehouse, which enables data mining that has an influential impact on the business.

You’ll also like:

  1. Principles of Software Design & Concepts in Software Engineering
  2. Software Design Reviews in Software Engineering
  3. Architectural Design in Software Engineering
  4. Component-Level Design in software engineering
  5. Software Engineering – What is Software Engineering? Write Basic Objective and Need for Software Engineering
Next →
← Prev
Like/Subscribe us for latest updates     

About Dinesh Thakur
Dinesh ThakurDinesh Thakur holds an B.C.A, MCDBA, MCSD certifications. Dinesh authors the hugely popular Computer Notes blog. Where he writes how-to guides around Computer fundamental , computer software, Computer programming, and web apps.

Dinesh Thakur is a Freelance Writer who helps different clients from all over the globe. Dinesh has written over 500+ blogs, 30+ eBooks, and 10000+ Posts for all types of clients.


For any type of query or something that you think is missing, please feel free to Contact us.


Primary Sidebar

Software Engineering

Software Engineering

  • SE - Home
  • SE - Feasibility Study
  • SE - Software
  • SE - Software Maintenance Types
  • SE - Software Design Principles
  • SE - Prototyping Model
  • SE - SRS Characteristics
  • SE - Project Planning
  • SE - SRS Structure
  • SE - Software Myths
  • SE - Software Requirement
  • SE - Architectural Design
  • SE - Software Metrics
  • SE - Object-Oriented Testing
  • SE - Software Crisis
  • SE - SRS Components
  • SE - Layers
  • SE - Problems
  • SE - Requirements Analysis
  • SE - Software Process
  • SE - Software Metrics
  • SE - Debugging
  • SE - Formal Methods Model
  • SE - Management Process
  • SE - Data Design
  • SE - Testing Strategies
  • SE - Coupling and Cohesion
  • SE - hoc Model
  • SE - Challenges
  • SE - Process Vs Project
  • SE - Requirements Validation
  • SE - Component-Level Design
  • SE - Spiral Model
  • SE - RAD Model
  • SE - Coding Guidelines
  • SE - Techniques
  • SE - Software Testing
  • SE - Incremental Model
  • SE - Programming Practices
  • SE - Software Measurement
  • SE - Software Process Models
  • SE - Software Design Documentation
  • SE - Software Process Assessment
  • SE - Process Model
  • SE - Requirements Management Process
  • SE - Time Boxing Model
  • SE - Measuring Software Quality
  • SE - Top Down Vs Bottom UP Approaches
  • SE - Components Applications
  • SE - Error Vs Fault
  • SE - Monitoring a Project
  • SE - Software Quality Factors
  • SE - Phases
  • SE - Structural Testing
  • SE - COCOMO Model
  • SE - Code Verification Techniques
  • SE - Classical Life Cycle Model
  • SE - Design Techniques
  • SE - Software Maintenance Life Cycle
  • SE - Function Points
  • SE - Design Phase Objectives
  • SE - Software Maintenance
  • SE - V-Model
  • SE - Software Maintenance Models
  • SE - Object Oriented Metrics
  • SE - Software Design Reviews
  • SE - Structured Analysis
  • SE - Top-Down & Bottom up Techniques
  • SE - Software Development Phases
  • SE - Coding Methodology
  • SE - Emergence
  • SE - Test Case Design
  • SE - Coding Documentation
  • SE - Test Oracles
  • SE - Testing Levels
  • SE - Test Plan
  • SE - Staffing
  • SE - Functional Testing
  • SE - Bottom-Up Design
  • SE - Software Maintenance
  • SE - Software Design Phases
  • SE - Risk Management
  • SE - SRS Validation
  • SE - Test Case Specifications
  • SE - Software Testing Levels
  • SE - Maintenance Techniques
  • SE - Software Testing Tools
  • SE - Requirement Reviews
  • SE - Test Criteria
  • SE - Major Problems
  • SE - Quality Assurance Plans
  • SE - Different Verification Methods
  • SE - Exhaustive Testing
  • SE - Project Management Process
  • SE - Designing Software Metrics
  • SE - Static Analysis
  • SE - Software Project Manager
  • SE - Black Box Testing
  • SE - Errors Types
  • SE - Object Oriented Analysis

Other Links

  • Software Engineering - PDF Version

Footer

Basic Course

  • Computer Fundamental
  • Computer Networking
  • Operating System
  • Database System
  • Computer Graphics
  • Management System
  • Software Engineering
  • Digital Electronics
  • Electronic Commerce
  • Compiler Design
  • Troubleshooting

Programming

  • Java Programming
  • Structured Query (SQL)
  • C Programming
  • C++ Programming
  • Visual Basic
  • Data Structures
  • Struts 2
  • Java Servlet
  • C# Programming
  • Basic Terms
  • Interviews

World Wide Web

  • Internet
  • Java Script
  • HTML Language
  • Cascading Style Sheet
  • Java Server Pages
  • Wordpress
  • PHP
  • Python Tutorial
  • AngularJS
  • Troubleshooting

 About Us |  Contact Us |  FAQ

Dinesh Thakur is a Technology Columinist and founder of Computer Notes.

Copyright © 2023. All Rights Reserved.