The Basic of Measurement

Slides:



Advertisements
Similar presentations
Info 2040 Foundation of Quantitative Analysis
Advertisements

Conceptualization and Measurement
1 SIM5102 Software Evaluation Fundamental of Software Measurement.
Chapter 1: Introduction to Accounting Theory
Software Metrics II Speaker: Jerry Gao Ph.D. San Jose State University URL: Sept., 2001.
1 A Framework for Measurement Valérie Paulus, Miguel Lopez, Gregory Seront, Simon Alexandre.
Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides
Foundations This chapter lays down the fundamental ideas and choices on which our approach is based. First, it identifies the needs of architects in the.
Business Research Method Measurement, Scaling, Reliability, Validity
Software Measurement Theoretical issues. Measurement Theory – Sources Measurement theory in mathematics Metrology (physical science & Engineering) – Definitions.
@ 2012 Wadsworth, Cengage Learning Chapter 5 Description of Behavior Through Numerical 2012 Wadsworth, Cengage Learning.
Slide 9-1 © 1999 South-Western Publishing McDaniel Gates Contemporary Marketing Research, 4e Understanding Measurement Carl McDaniel, Jr. Roger Gates Slides.
EPE/EDP 557 Key Concepts / Terms –Empirical vs. Normative Questions Empirical Questions Normative Questions –Statistics Descriptive Statistics Inferential.
Census A survey to collect data on the entire population.   Data The facts and figures collected, analyzed, and summarized for presentation and.
SOFTWARE ENGINEERING BIT-8 APRIL, 16,2008 Introduction to UML.
Software Metrics  The measurement of a particular characteristic of a software program's performance or efficiency. (
Measurement theory - for the interested student Erland Jonsson Department of Computer Science and Engineering Chalmers University of Technology.
CSD 5100 Introduction to Research Methods in CSD Observation and Data Collection in CSD Research Strategies Measurement Issues.
Chapter 1: Introduction to Statistics
Measurement Theory Michael J. Watts
Introduction to Research
Chapter 1 Introduction to Statistics. Statistical Methods Were developed to serve a purpose Were developed to serve a purpose The purpose for each statistical.
1 What is OO Design? OO Design is a process of invention, where developers create the abstractions necessary to meet the system’s requirements OO Design.
Scale2 1 Measurement Scales The “richness” of the measure.
Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples:
© Copyright McGraw-Hill Correlation and Regression CHAPTER 10.
Lecture V Probability theory. Lecture questions Classical definition of probability Frequency probability Discrete variable and probability distribution.
MOI UNIVERSITY SCHOOL OF BUSINESS AND ECONOMICS CONCEPT MEASUREMENT, SCALING, VALIDITY AND RELIABILITY BY MUGAMBI G.K. M’NCHEBERE EMBA NAIROBI RESEARCH.
Overview and Types of Data
SOCI 2003B: Sociological Methods Colleen Anne Dell, Ph.D. Carleton University, Department of Sociology & Anthropology Canadian Centre on Substance Abuse.
Thinking behind the environment for Making Construals (MCE)
F02measure13 1 Software Measurement Measurement is essential for a science.
Software Measurement: A Necessary Scientific Basis By Norman Fenton Presented by Siv Hilde Houmb Friday 1 November.
Emilia Mendes Professora Visitante CAPES/ Associate Professor Univ. Auckland, NZ. Introdução a Métricas, Qualidade e Medição de Software.
EXPERIENCE REASONING RESEARCH DEDUCTIVE AND INDUCTIVE REASONING Deductive Reasoning (Top-Down Approach) Deductive reasoning works from the more general.
The What and the Why of Statistics
3. MEASUREMENT and DATA COLLECTION
Measurement Theory Michael J. Watts
Chapter 12 Understanding Research Results: Description and Correlation
Pharmaceutical Statistics
OPERATING SYSTEMS CS 3502 Fall 2017
Chapter 2 Theoretical statement:
Spatial Data Models 5/7/2018 What are Spatial Data?
Linking theory to practice
Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides
Defining measures for WMS and VOMS services evaluation
Levels of Measurement
Probability and Statistics
Associated with quantitative studies
Object Oriented Concepts -I
Measuring Social Life: How Many? How Much? What Type?
Introduction to Statistics
Correlation and Regression
RESEARCH 101 Building on the Basics
INVESTIGATION ONE BLACK BOXES.
Probability and Statistics
Functions Introduction.
Confidence Intervals Chapter 10 Section 1.
Command Terms
Measurement What is it and why do it? 2/23/2019
Rai University , November 2014
Chapter 19 Technical Metrics for Software
Unit 1 Vocabulary Science Skills.
Goal-Driven Continuous Risk Management
Goal-Driven Software Measurement
Advanced Algebra Unit 1 Vocabulary
Chapter 1 Introduction to Statistics
Operational Definitions,
Business Research Methods William G. Zikmund
Functions What is a function? What are the different ways to represent a function?
Presentation transcript:

The Basic of Measurement 11/10/2018 SWEN 5430 Software Metrics

The representational theory of measurement Empirical relations The representational theory of measurement seeks to formalize our intuition about the way the world works. Data we obtain as measures should represent attributes of the entities we observe. Manipulation of this data should preserve relationships among the entities. 11/10/2018 SWEN 5430 Software Metrics

The representational theory of measurement Empirical relations Measurement is a mapping from the empirical world to the formal, relational word. A measure is the number or symbol assigned to an entity by this mapping in order to characterize an attribute. A Measure is used to characterize an attribute 11/10/2018 SWEN 5430 Software Metrics

The representational theory of measurement The rules of the mapping The real world is the domain of the mapping The mathematical world is the range Attributes mapped to a mathematical system give us the range of: Real numbers Integers Non-numeric symbols 11/10/2018 SWEN 5430 Software Metrics

The representational theory of measurement The representation condition of measurement The representation condition asserts that a measurement mapping must map entities into numbers and empirical relations into numerical relations in such a way that the empirical relations preserve and are preserved by the numerical relations. 11/10/2018 SWEN 5430 Software Metrics

Measurement and models A model is an abstraction of reality, allowing the us to strip away detail and view an entity or concept from a particular perspective. Models give understanding how measures are derived and how to interpret the behavior back in the real world. 11/10/2018 SWEN 5430 Software Metrics

Measurement and models Defining attributes Graph on page 39 11/10/2018 SWEN 5430 Software Metrics

Measurement and models Direct and indirect measurement Direct measurement of an attribute of an entity involves no other attribute or entity. Indirect measurement uses combinations of attributes of other entities to obtain a measurement. Page 40 examples. 11/10/2018 SWEN 5430 Software Metrics

Measurement and models Measurement for prediction Measurement for prediction always requires some kind of mathematical model that relate the attributes to be predicted ( the future) to some other attributes that we can measure now (the present). 11/10/2018 SWEN 5430 Software Metrics

Measurement and models Measurement for prediction (continued) A prediction system consists of a mathematical model together with a set of prediction procedures for determining unknown parameters and interpreting result (Littlewood, 1988). 11/10/2018 SWEN 5430 Software Metrics

Measurement scales and scale types Normal Ordinal Interval Ratio Absolute 11/10/2018 SWEN 5430 Software Metrics

Meaningfulness in measurement Understanding scale type enables us to determine when statements about measurement make sense. 11/10/2018 SWEN 5430 Software Metrics

Meaningfulness in measurement Statistical operations on measures 11/10/2018 SWEN 5430 Software Metrics

Meaningfulness in measurement Objective and subjective measures 11/10/2018 SWEN 5430 Software Metrics

Meaningfulness in measurement Measurement in extended number systems 11/10/2018 SWEN 5430 Software Metrics

Meaningfulness in measurement Indirect measurement and meaningfulness 11/10/2018 SWEN 5430 Software Metrics

Summary Measurement requires us to identify intuitively understood attributes possessed by clearly defined entities. Then we assign numbers or symbols to the entities in a way that captures our intuitive understanding about the attribute. The intuitive understanding leads to the identification of relations between entities. 11/10/2018 SWEN 5430 Software Metrics

Summary To measure the attribute , we define corresponding relations in some number system. Then measurement assigns numbers to the entities is such a way that these relations are preserved. 11/10/2018 SWEN 5430 Software Metrics

Summary This relationship between the domain and range relationship is called the representation condition. Five well known representation condition Normal Ratio Ordinal Absolute Interval 11/10/2018 SWEN 5430 Software Metrics

Summary The scale type for a measure determines what kind of statement we can meaningfully make using the measurement. Many SWEN attributes are not directly measurable and we have to determine when statements and operations are meaningful. 11/10/2018 SWEN 5430 Software Metrics