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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
306 Software Metrics
If a subsequent x-ray test is positive (Figure 7.10b) our belief in both
TB (26%) and cancer (25%) are raised but bronchitis is still the most
likely (57%).
However, if we now discover that the patient visited Asia (Figure
7.10d) we overturn our belief in bronchitis in favor of TB (63%).
Note that we can enter any number of observations anywhere in the BN
and update the marginal probabilities of all the unobserved variables. As
the above example demonstrates, this can yield some exceptionally pow-
erful analyses that are simply not possible using other types of reasoning
and classical statistical analysis methods ...
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Publisher Resources

ISBN: 9781439838228