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Software Metrics: A Rigorous and Practical Approach, Revised

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Title: Software Metrics: A Rigorous and Practical Approach, Revised
by Norman E. Fenton, Shari Lawrence Pfleeger
ISBN: 0-534-95425-1
Publisher: Brooks Cole
Pub. Date: 24 February, 1998
Format: Paperback
Volumes: 1
List Price(USD): $81.95
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Average Customer Rating: 3.5 (2 reviews)

Customer Reviews

Rating: 2
Summary: Software Metrics: A Rigorous and Practical Approach, Revised
Comment: The structure of the book makes it difficult to read. It jumps from one type of metrics to another and then back again. The motivation for some of the metrics is not explained at all.

Considering the price you should get value on all pages. This book could have been one quarter of its size and you would not have lost anything.

This is far from a Practical Approach. At some places the authors seems more interested in taking down other researchers ideas than giving an objective view on, "what metrics is, how it can be used, when it is used, what you measure on".

Rating: 5
Summary: excellent survey and critique
Comment: (For the full text of this review, see Doctor Dobbs Journal) Software Metrics is not just a thorough, readable survey of the various proposals that have been made over the years for measuring the characteristics of programs; it is also a detailed critique of the sloppy way in which people have tried to use such measurements to predict how much effort would be required to develop and maintain software, and how reliable that software would be. The first part of Software Metrics introduces the fundamentals of measurement theory. What does it mean to measure something? What kinds of measures are there, and -- more importantly -- what kinds of conclusions can we draw from different kinds of measurements? The second part of the book looks at software measurement in particular. Popular measures (COCOMO, function points, cyclometric complexity, and the like) are all described, and their weaknesses pointed out. Again and again, the authors show that the proponents of various metrics have failed to validate their metrics in even the most basic ways... Part Three looks at implementing software measurement in the workplace, and includes an interesting discussion about the nature of empirical research in software engineering. The book closes with a comprehensive annotated bibliography. If you have ever thought about measuring the progress of a software project, or about trying to predict the effort required to develop or maintain a program, this book will tell you what is feasible, what is just hype, and how to tell the difference between the two.

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