Software Engineering Measurement

ISBN: 0849315034
EAN: 2147483647

Year: 2003
Pages: 139

Authors: John C. Munson Ph.D.

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Table of Contents
BackCover
Software Engineering Measurement
Preface
Chapter 1: The Goals of Software Engineering Measurement
1.2 The Rationale for Effective Measurement
1.3 Measurement Across the Life-Cycle Model
1.4 Reasonable and Attainable Goals for Software Measurement
1.5 Summary
References
Chapter 2: The Conduct of Scientific Investigations
2.2 Measurement
2.3 Measurement Issues
2.4 Measurement Standards
2.5 Principles of Experimentation
References
Chapter 3: Measuring Software Development
3.2 Modeling: Mapping Among Measurement Domains
3.3 The Process of Software Measurement
3.4 Summary
References
Chapter 4: Validation of Software Measures
4.2 Criterion-Oriented Validity
4.3 Content Validity
4.4 Construct Validity
4.5 Empirical Validity
4.6 Reliability
References
Chapter 5: Static Software Measurement
5.2 Primitive Measures of Source Code
5.3 Measures of Software Quality
5.4 Summary
References
Chapter 6: Derived Software Measures
6.2 Software Science Metrics
6.3 Sources of Variation
6.4 The Principal Components of Measurement
6.5 Principal Components Analysis as a Validation Tool
6.6 Discovering New Sources of Variation
6.7 Domain Metrics
6.8 A Unitary Measure of Software Complexity
6.9 Summary
References
Chapter 7: Modeling with Metrics
7.2 Simple Linear Regression
7.3 Nonlinear Models
7.4 Problems Associated with Multicollinearity
7.5 Regression as a Metric Validation Tool
7.6 Canonical Correlation
References
Chapter 8: Measuring Software Evolution
8.2 Measuring Evolving Software
8.3 Measuring Changes to Modules Across Builds
8.4 Summary
References
Chapter 9: Software Specification and Design
9.2 Software Operational Requirements Specification
9.3 Software Functional Requirements Specification
9.4 Software Module Requirements Specification
9.5 A Formal Description of Program Operation
9.6 Configuration Control for the Requirements
9.7 Measuring Software Design Alternatives
9.8 Maintainability
References
Chapter 10: Dynamic Software Measurement
10.2 A Stochastic Description of Program Operation
10.3 The Profiles of Software Dynamics
10.4 Estimates for Profiles
10.5 Code Instrumentation
10.6 Instrumenting for the Profiles
10.7 Partial Complexity
10.8 A Measure of Cohesion
10.9 Entropy
10.10 Testability Revisited
References
Chapter 11: The Measurement of Software Testing Activity
11.2 Static and Dynamic Measurement
11.3 A Metaphor for Test Activity
11.4 Measurement-Based Testing
11.5 Fractional Measures
11.6 Introduction to Statistical Testing
References
Chapter 12: Software Availability
12.2 Software Reliability
12.3 Availability
12.4 Security
12.5 Maintainability
Reference
Chapter 13: Implementing a Software Measurement Plan
13.2 Building a Measurement Process
13.3 Measurement Process Improvement
13.4 Institutionalizing Measurement Process Improvement
13.5 A Network-Based Measurement System
Chapter 14: Implementing a Software Research Plan
14.2 Implementing a Research Plan
14.3 Defining Software Research Objectives
14.4 Budgeting for Software Research
14.5 Research Pays
Appendix 1: Review of Mathematical Fundamentals
A1.2 Some Notions of Probability
A1.3 Discrete Probability Distributions
A1.4 Continuous Probability Distributions
A1.5 Statistics
A1.6 Tests of Hypotheses
A1.7 Introduction to Modeling
Appendix 2: A Standard for the Measurement of C Programming Language Attributes
A2.2 Compiler Directives
A2.3 Style and Statement Metrics
A2.4 Lexical Metrics
A2.5 Control Flowgraph Metrics
A2.6 Coupling Metrics
A2.7 Definitions
A2.8 Tokens
Index
Index_B
Index_C
Index_D
Index_E
Index_F
Index_G
Index_H
Index_I
Index_J
Index_K
Index_L
Index_M
Index_N
Index_O
Index_P
Index_Q
Index_R
Index_S
Index_T
Index_U
Index_V
Index_W
Index_Z
List of Exhibits