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Chapter 6. Change Dynamics
Figure 6.8: Probability of modification increases as the In-Degree
Count of a class increases. This graph is generated based on predicted
values from the Logistic regression where In-Degree Count is the independent
variable.
dence interval is 1.026 – 1.0319). The predicted probability derived from
the model is presented graphically in Figure 6.8 and shows the probability
that a class will be modified increases as it gains additional dependents.
6.2.6 Popularity of New Classes
We have shown in the previous chapter that the distribution of size
measures are stable as software evolves. As a consequence we know
that overall system size growth is mainly due to the addition of new
classes, rather than growth within existing classes. But, what characterizes
new classes? How do new classes compare with existing and
modified classes? Are classes born popular or do they acquire popular-
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