"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
Norman Fenton is a professor of computer science at the Queen Mary University of London, UK
Shari Lawrence Pfleeger is a senior researcher at the RAND Corporation in Arlington, Virginia, USA.--This text refers to the Hardcover edition.