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Chapter 6. Change Dynamics<br />

Age (Days)<br />

0 1,000 2,000 3,000<br />

Age (Days)<br />

0 1,000 2,000 3,000<br />

N<br />

Y<br />

N<br />

Y<br />

Figure 6.3: Box plot <strong>of</strong> system maturity showing distribution <strong>of</strong> age<br />

(in days since birth) <strong>and</strong> if the change properties hold. Graph on the<br />

left covers Equation 6.2.9, while the right side graph covers Equation<br />

6.2.10.<br />

Kruskal-Wallis equality-<strong>of</strong>-populations test for the first property (Equation<br />

6.2.9) resulted in a χ 2 value <strong>of</strong> 29.37 (with 1 degree <strong>of</strong> freedom), <strong>and</strong><br />

for the second property (Equation 6.2.10) resulted in a χ 2 value <strong>of</strong> 24.21<br />

(with 1 degree <strong>of</strong> freedom). In both cases, the χ 2 value is well above the<br />

critical level <strong>of</strong> 3.84 (1 degrees <strong>of</strong> freedom) <strong>and</strong> hence the null hypo<strong>thesis</strong><br />

was rejected at a significance level <strong>of</strong> 0.05.<br />

The Kruskal-Wallis test shows that system maturity has an impact, but<br />

it does not answer a related question – Does the probability that the<br />

stated properties hold increase with age?. That is, as s<strong>of</strong>tware matures<br />

does the probability <strong>of</strong> stability increase from the 80% indicated for the<br />

first property? In order to answer this specific question, we constructed<br />

a Logistic model [279] to predict the probability that the change properties<br />

(Equations 6.2.9 <strong>and</strong> 6.2.10) will hold.<br />

150

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