Software Engineering Metrics

Name: Software Engineering Metrics
Price: 11.99 USD
Availability: InStock
ISBN: 9780077074104

ISBN-10: 0077074106

ISBN-13: 9780077074104

Edition: 1st 1993

Authors: Martin Shepperd

List price: $45.00

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Description:

The first of two volumes arguing for the importance of measurement in software engineering. Reviews the history of software metrics over the past 20 years and seeks the basis of claiming that a certain measurement adequately represents a particular attribute. Volume two will deal with specific tools and techniques. Annotation copyright by Book News, Inc., Portland, OR

Book details

List price: $45.00
Edition: 1st
Copyright year: 1993
Publisher: McGraw-Hill Companies, The
Binding: Paperback
Size: 7.25" wide x 10.25" long x 1.00" tall
Weight: 1.540
Language: English

Preface
Software Measurement: Past, Present and Future	p. 1
Beginnings: Code Complexity Measures	p. 13
An Experiment Comparing Fortran Programming Times with the Software Physics Hypothesis	p. 17
A Complexity Measure	p. 22
Control Flow, Data Flow and Program Complexity	p. 52
Early Life-Cycle Metrics: Design and Specification	p. 67
Ripple Effect Analysis of Software Maintenance	p. 71
System Structure Analysis: Clustering with Data Bindings	p. 83
The Evaluation of Software Systems' Structure Using Quantitative Software Metrics	p. 99
Software Engineering Economics	p. 112
Software Function, Source Lines of Code and Development Effort Prediction: A Software Science Validation	p. 137
Validations	p. 155
Third-time Charm: Stronger Prediction of Programmer Performance by Software Complexity Metrics	p. 159
Software Errors and Complexity: An Empirical Investigation	p. 168
M. H. Halstead's Software Science: A Critical Examination	p. 184
A Critique of Cyclomatic Complexity as a Software Metric	p. 200
Measuring the Quality of Structured Designs	p. 214
A Validation of Software Metrics using Many Metrics and Two Resources	p. 227
An Empirical and Theoretical Analysis of an Information Flow-based Design Metric	p. 241
An Empirical Validation of Software Cost Estimation Models	p. 255
Bibliography	p. 278
Index	p. 297
Table of Contents provided by Blackwell. All Rights Reserved.