• 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 » Software Measurement in Software Engineering
Next →
← Prev

Software Measurement in Software Engineering

By Dinesh Thakur

To assess the quality of the engineered product or system and to better understand the models that are created, some measures are used. These measures are collected throughout the software development life cycle with an intention to improve the software process on a continuous basis. Measurement helps in estimation, quality control, productivity assessment and project control throughout a software project. Also, measurement is used by software engineers to gain insight into the design and development of the work products. In addition, measurement assists in strategic decision-making as a project proceeds.

Software measurements are of two categories, namely, direct measures and indirect measures. Direct measures include software processes like cost and effort applied and products like lines of code produced, execution speed, and other defects that have been reported. Indirect measures include products like functionality, quality, complexity, reliability, maintainability, and many more.

Generally, software measurement is considered as a management tool which if conducted in an effective manner, helps the project manager and the entire software team to take decisions that lead to successful completion of the project. Measurement process is characterized by a set of five activities, which are listed below.

  • Formulation: This performs measurement and develops appropriate metric for software under consideration.
  • Collection: This collects data to derive the formulated metrics.
  • Analysis: This calculates metrics and the use of mathematical tools.
  • Interpretation: This analyzes the metrics to attain insight into the quality of representation.
  • Feedback: This communicates recommendation derived from product metrics to the software team.

Note that collection and analysis activities drive the measurement process. In order to perform these activities effectively, it is recommended to automate data collection and analysis, establish guidelines and recommendations for each metric, and use statistical techniques to interrelate external quality features and internal product attributes.

You’ll also like:

  1. Software Engineering – What is Software Engineering? Write Basic Objective and Need for Software Engineering
  2. Definition of Software Engineering and Software Engineering Layers
  3. Software Myths : What is software myth in software engineering.
  4. Principles of Software Design & Concepts in Software Engineering
  5. Classification of Software Metrics in 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 © 2025. All Rights Reserved.

APPLY FOR ONLINE JOB IN BIGGEST CRYPTO COMPANIES
APPLY NOW