• 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 » What are the Matrices, Measurements and Models of Project Management Process
Next →
← Prev

What are the Matrices, Measurements and Models of Project Management Process

By Dinesh Thakur

For effective project monitoring, the information coming from the development process to the management process should be objective and quantitative data about the project. Software matrices are quantifiable measures that could be used to measure different characteristics of a software system or the software development process.

All engineering disciplines have matrices (such as matrices for weight, density, wavelength, and temperature) to quantify various characteristics of their products. A number of matrices have been proposed to quantify things like the size, complexity, and reliability of a software product.

 

Matrices provide the scale for quantifying qualities; actual measurement must be performed on a given software system in order to use matrices for quantifying characteristics of the given software. The Measurement method must be objective and should produce the same result independent of the measurer. Values for some matrices can be directly measured; others might have to be deduced by other measurement.

 

If a metric is not measured directly, we call the metric indirect. Some factors, like many software quality parameters, cannot be measured directly either because there are no means to measure the metric directly, or because the final product whose metric is of interest still does not exist. Similarly, the reliability of a software cannot be measured directly, even though precise definition and matrices for reliability exist. It has to be estimated from other measurements that are possible.

 

                   For estimating, models are needed. A model is a relationship of the predicted variable with other variables that can be measured. That is, if there is some metric of interest, which cannot be measured directly, then we build models to estimate the metric value based on the value of some other metrics that we can measure.

 

The model may be determined based on empirical data or it may be analytic. It should be clear that metrics, measurements, and models go together. Metrics provide a quantification of some property, measurements provide the actual value for the metrics, and models are needed to get the value for the metrics that cannot be measured directly.

You’ll also like:

  1. Criteria for Selecting Software Process Models
  2. Differentiate Between Process, Project and Products
  3. Explain Various Phases of Process Management
  4. Process Change Management (PCM)
  5. Quantitative Process Management (QPM)
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