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A Framework for Managing, Measuring, and Predicting Attributes of Software Development Products and Processes
Reflecting the immense progress in the development and use of software metrics in the past decades, Software Metrics: A Rigorous and Practical Approach, Third Edition provides an up-to-date, accessible, and comprehensive introduction to software metrics. Like its popular predecessors, this third edition discusses important issues, explains essential concepts, and offers new approaches for tackling long-standing problems.
New to the Third Edition
This edition contains new material relevant to object-oriented design, design patterns, model-driven development, and agile development processes. It includes a new chapter on causal models and Bayesian networks and their application to software engineering. This edition also incorporates recent references to the latest software metrics activities, including research results, industrial case studies, and standards.
Suitable for a Range of Readers
With numerous examples and exercises, this book continues to serve a wide audience. It can be used as a textbook for a software metrics and quality assurance course or as a useful supplement in any software engineering course. Practitioners will appreciate the important results that have previously only appeared in research-oriented publications. Researchers will welcome the material on new results as well as the extensive bibliography of measurement-related information. The book also gives software managers and developers practical guidelines for selecting metrics and planning their use in a measurement program.
- Sales Rank: #257716 in Books
- Published on: 2014-10-01
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.30" w x 6.20" l, 2.26 pounds
- Binding: Hardcover
- 617 pages
Review
"The wait for a new edition of this book is over. Long considered the go-to text for its thorough coverage of software measurement and experimentation, the new edition succeeds splendidly in bringing the field up to date while including new and important topics. … updated with the latest results from recent advances in software measurement research and practice. … The authors do an outstanding job of balancing formal analysis topics with examples that ground the reader in practical application. … Both researchers and practitioners alike will gain a valuable understanding of why measurement is critical for quality improvements in software development processes and software products. … With this updated edition, this book solidifies its standing as the most complete reference text for software measurement."
―Computing Review, April 2015
"I have been using this book as my primary reference on software metrics for over 20 years now. It still remains the best book by far on the science and practice of software metrics. This latest edition has some important updates, especially with the inclusion of material on Bayesian networks for prediction and risk assessment."
―Paul Krause, University of Surrey, Guildford, UK
"Great introduction to software metrics, measurement, and experimentation. This will be a must-read for my software engineering students."
―Lukasz Radlinski, PhD, West Pomeranian University of Technology, Szczecin, Poland
"I have loved this book from the first edition and with each new edition it just keeps getting better and better. I use this book constantly in my software engineering research and always recommend it to students. It is so much more than a software metrics book; to me it is an essential companion to rigorous empirical software engineering."
―Dr. Tracy Hall, Department of Computer Science, Brunel University, Uxbridge, UK
"This new edition of Software Metrics succeeds admirably in bringing the field of software measurement up to date and in delivering a wider range of topics to its readers as compared to its previous edition. I have both reviewed and used the book in my software measurement courses and find it to be one of the most advanced and well structured on the market today, tailored for training software engineers in both theoretical and practical aspects of software measurement. I look forward to continuing the use of the book for teaching purposes and am very comfortable offering my recommendation for this book as a primary textbook for graduate or undergraduate courses on software measurement. Thank you again for providing such a quality book to our software engineering education programs."
―Olga Ormandjieva, Associate Professor, Department of Computer Science and Software Engineering, Concordia University, Canada
"This book lucidly and diligently covers the nuts and bolts of software measurement. It is an excellent reference on software metric fundamentals, suitable as a comprehensive textbook for software engineering students and as a definitive manual for industry practitioners."
―Mohammad Alshayeb, Associate Professor of Software Engineering, King Fahd University of Petroleum and Minerals
About the Author
Norman Fenton, PhD, is a professor of risk information management at Queen Mary London University and the chief executive officer of Agena, a company that specializes in risk management for critical systems. He is renowned for his work in software engineering and software metrics. His current projects focus on using Bayesian methods of analysis to risk assessment. He has published 6 books and more than 140 refereed articles and has provided consulting to many major companies worldwide.
James M. Bieman, PhD, is a professor of computer science at Colorado State University, where he was the founding director of the Software Assurance Laboratory. His research focuses on the evaluation of software designs and processes, including ways to test nontestable software, techniques that support automated software repair, and the relationships between internal design attributes and external quality attributes. He serves on the editorial boards of the Software Quality Journal and the Journal of Software and Systems Modeling.
Most helpful customer reviews
38 of 39 people found the following review helpful.
excellent survey and critique
By Greg Wilson (gvwilson@interlog.com)
(For the full text of this review, see Complete, wide in scope and essential
By Mike Tarrani
I have a large number of metrics books, including everything written by Grady, Jones, and Florac & Carleton, and this is one of my personal favorites. It not only goes into measurement theory and practice, but covers nearly every key metric associated with software engineering.
Instead of writing a tome about what this book contains, I'll confine my comments to what I especially like about it and why.
First, the measurement fundamentals, the goal-based measurement framework, and information about data collection and management alone make this book worth owning. Data collection, for example, can waste resources if you try to collect everything, or worse, don't properly manage or analyze it. Follow the process given in the first part of this book and you'll have a solid basis for a metrics initiative.
Second, the scope of software engineering metrics is wide and given fairly detailed treatment. I especially like the fact that object-oriented metrics are addressed, and the multi-dimensional approach to measuring internal and external product attributes. Moreover, the scope of this book extends to productivity and resource management, which is where development projects and lifecycle costs associated with maintenance have gaps. Finally, the section on software reliability metrics was excellent and added yet another dimension to the coverage the authors give.
Overall, this book is both rigorous and practical as the title implies. The theory and practical applications of measurement and metrics are carefully balanced, and the breadth of material ensures that coverage is complete and addresses all major aspects of software engineering.
15 of 21 people found the following review helpful.
Software Metrics: A Rigorous and Practical Approach, Revised
By A Customer
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".
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