"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 admir.