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@@ -36,7 +36,7 @@ To discover buggy patterns, the algorithm first learns \emph{negative rules} tha
\begin{itemize}
\item classification accuracy of each learned rule must exceed a threshold (we selected 90\%, as 10\% error seems acceptable for our application);
- \item each conjunct in a condition must be significant with respect to the likelihood-ratio test (in our experiments we set significance threshold to $p=0.05$);
+ \item each conjunct in a condition must be significant according to the likelihood-ratio test (in our experiments we set significance threshold to $p=0.05$);
\item a conjunct can only specify the presence of a pattern (in other words, we only allow feature-value pairs with the value \textsf{true}).
\end{itemize}