xxi
Authors
Norman Fenton, PhD, is a professor of risk information management at
Queen Mary London University and is also the chief executive ocer of
Agena, a company that specializes in risk management for critical systems.
His experience in risk assessment covers a wide range of application
domains such as critical soware systems, legal reasoning (he has been
an expert witness in major criminal and civil cases), medical trials, vehi-
cle reliability, embedded soware, transport systems, nancial services,
and football prediction. He has published 6 books and more than 140
refereed articles and has provided consulting to many major companies
worldwide. His current projects are focused on using Bayesian methods
of analysis to risk assessment. In addition to his research on risk assess-
ment, he is renowned for his work in soware engineering and soware
metrics, including the pioneering work in previous editions of this book.
Further details can be found at http:// www. eecs. qmul. ac. uk/ ~norman/.
James M. Bieman, PhD, is a professor of computer science at Colorado State
University. He served as the founding director of the Soware Assurance
Laboratory, a Colorado State University Research Center. His research focus
is on the evaluation of soware designs and processes. His current research
is directed toward ways to test nontestable soware—soware without a test
oracle, which includes many scientic soware systems. He is also studying
techniques that support automated soware repair. His long-term research
involves studying the relationships between internal design attributes, such as
coupling, cohesion, architectural contexts, and the use of design patterns, and
external attributes such as maintainability, reliability, and testability. Professor
Bieman served as the editor-in-chief of the Soware Quality Journal published
by Springer, from 2001 to 2009, and he serves on the editorial boards of the
Soware Quality Journal and the Journal of Soware and Systems Modeling.
Further details are available at http:/ / www. cs. colostate. edu/ ~bieman/.
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Fundamentals of Measurement and
Experimentation

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