Skip to Main Content
Software Metrics, 3rd Edition
book

Software Metrics, 3rd Edition

by Norman Fenton, James Bieman
October 2014
Intermediate to advanced content levelIntermediate to advanced
617 pages
19h 10m
English
CRC Press
Content preview from Software Metrics, 3rd Edition
230 Software Metrics
is is one reason why the normal distribution can only be a crude
approximation to the “true” distribution.
If you are using a continuous function as a probability distribution, you
need to understand that, unlike discrete probability distributions, it is not
meaningful to talk about the probability of a (point) value. So, we cannot
talk about the probability that a person’s height is 158 cm. Instead, we always
need to talk in terms of a range, such as the probability that a person’s height
is between 157.9 and 158.1 cm. e probability is then the proportion of the
curve lying between those two values. is is shown ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Metrics and Models in Software Quality Engineering, Second Edition

Metrics and Models in Software Quality Engineering, Second Edition

Stephen H. Kan
Software Quality Assurance

Software Quality Assurance

Claude Y. Laporte, Alain April
Software Quality Assurance

Software Quality Assurance

Ivan Mistrik, Richard M Soley, Nour Ali, John Grundy, Bedir Tekinerdogan
Software Quality

Software Quality

Daniel Galin

Publisher Resources

ISBN: 9781439838228