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Software Metrics: A Rigorous and Practical Approach [Paperback]

Norman E. Fenton , Shari Lawrence Pfleeger
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Table of Contents

Fundamentals of Measurement and Experimentation
Measurement: What Is It and Why Do It?
Measurement in Everyday Life
Measurement in Software Engineering
Scope of Software Metrics

The Basics of Measurement
The Representational Theory of Measurement
Measurement and Models
Measurement Scales and Scale Types
Meaningfulness in Measurement

A Goal-Based Framework for Software Measurement
Classifying Software Measures
Determining What to Measure
Applying the Framework
Software Measurement Validation
Performing Software Measurement Validation

Empirical Investigation
Principles of Empirical Studies
Planning Experiments
Planning Case Studies as Quasi-Experiments
Relevant and Meaningful Studies

Software Metrics Data Collection
Defining Good Data
Data Collection for Incident Reports
How to Collect Data
Reliability of Data Collection Procedures

Analyzing Software Measurement Data
Statistical Distributions and Hypothesis Testing
Classical Data Analysis Techniques
Examples of Simple Analysis Techniques
More Advanced Methods
Multicriteria Decision Aids
Overview of Statistical Tests

Metrics for Decision Support: The Need for Causal Models
From Correlation and Regression to Causal Models
Bayes Theorem and Bayesian Networks
Applying Bayesian Networks to the Problem of Software Defects Prediction
Bayesian Networks for Software Project Risk Assessment and Prediction

Software Engineering Measurement
Measuring Internal Product Attributes: Size

Properties of Software Size
Code Size
Design Size
Requirements Analysis and Specification Size
Functional Size Measures and Estimators
Applications of Size Measures
Problem, Solution Size, Computational Complexity

Measuring Internal Product Attributes: Structure
Aspects of Structural Measures
Control Flow Structure of Program Units
Design-Level Attributes
Object-Oriented Structural Attributes and Measures
No Single Overall "Software Complexity" Measure

Measuring External Product Attributes
Modeling Software Quality
Measuring Aspects of Quality
Usability Measures
Maintainability Measures
Security Measures

Software Reliability: Measurement and Prediction
Basics of Reliability Theory
The Software Reliability Problem
Parametric Reliability Growth Models
Predictive Accuracy
Recalibration of Software Reliability Growth Predictions
Importance of the Operational Environment
Wider Aspects of Software Reliability

Appendix: Solutions to Selected Exercises

Summary, Exercises, and Further Reading appear at the end of each chapter.

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