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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
178 Software Metrics
study suggests that the design evolution measures are better predictors of fault
proneness than more traditional static design measures (Kpodjedo etal. 2011).
4.4.4 Validating Measures
Many soware measures have been proposed to capture the value of a
particular attribute. For example, several measures claim to measure the
complexity of code. As we saw in Chapter 3, a measure is said to be valid
if it reects the characteristics of an attribute under diering conditions.
us, suppose code module X has complexity measure C. e code is aug-
mented with new code, and the resulting module X is now perceived to
be much ...
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Publisher Resources

ISBN: 9781439838228