ICST.Table 1: Difference between revisions

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 |colspan="3" style="background: #eeeeee" | '''Hypotheses about prediction'''
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+| '''H4.''' Hotspots can be used to predict files that will contain any type of web application vulnerability in the current release.
+| True (Predictive Modeling, see Table 2)
+| True (Predictive Modeling, see Table 3)
+|-
+| '''H5.''' The more hotspots a file contains, the more likely that file will be vulnerable in the next release.
+| True (Positive Coefficient on Predictive Models)
+| True (Positive Coefficient on Predictive Models)
+|-
+|colspan="3" style="background: #eeeeee" | '''Hypotheses comparing projects'''
+|-
+| '''H6.''' The average number of hotspots per file is more variable in WordPress than in WikkaWikki.
+| colspan=2 | True (F-test, p<0.000001)
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 |}