adjusted quantitative analysis numbers
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report.pdf
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report.tex
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report.tex
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@ -125,7 +125,7 @@ After verifying that the project meets the hard requirements related to GitHub
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2022-10-19 (ISO 8601 date)}), we ensured that the project had enough lines of
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code by using the cloc tool, which provided the following output shown in Figure
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\ref{fig:cloc}. By looking at the results we can finally assert that the
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project contains 58.787 lines of Java code and this satisfies all the
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project contains 58.787 non-blank lines of Java code and this satisfies all the
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requirements.
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\begin{figure}[h]
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@ -134,8 +134,8 @@ requirements.
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\toprule
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Language & Files & Blank & Comment & Code \\
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\midrule
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HTML & 4846 & 18473 & 235544 & 1997020\\
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Java & 285 & 8532 & 20004 & 48783\\
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HTML & 4,846 & 18,473 & 235,544 & 1,997,020\\
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Java & 285 & 8,532 & 20,004 & 48,783\\
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CSS & 3 & 18 & 69 & 990\\
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Logos & 2 & 260 & 212 & 605\\
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Bourne Shell & 3 & 35 & 62 & 223\\
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@ -148,7 +148,7 @@ requirements.
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JSON & 1 & 0 & 0 & 10\\
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Properties & 2 & 0 & 16 & 5\\
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\midrule
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Total & 5158 & 27431 & 255936 & 2048305\\
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Total & 5,158 & 27,431 & 255,936 & 2,048,305\\
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\bottomrule
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\end{tabular}
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\caption{Output of the \textit{cloc} tool for the Jackson Core project at
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@ -199,8 +199,8 @@ find . -name '*.class' | shuf -n 20 | sed 's#\.class##;s#/#.#'
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The selected classes and the analysis results for both \textit{Pattern4J} and
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our manual inspection are shown in Figure \ref{fig:conf}. Using those results,
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we can say that \textit{Pattern4J} shows a false positive
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rate\footnote{\url{https://en.wikipedia.org/wiki/False_positive_rate}} of 45.4\%, a
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false negative rate of 17.2\%, and an accuracy of 75.0\%.
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rate\footnote{\url{https://en.wikipedia.org/wiki/False_positive_rate}} of 53.8\%, a
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false negative rate of 11.1\%, and an accuracy of 75.0\%.
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\begin{figure}[h]
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\begin{subfigure}{\linewidth}
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@ -236,11 +236,11 @@ false negative rate of 17.2\%, and an accuracy of 75.0\%.
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json.UTF8JsonGenerator & ~ & ~ & ~ & 1 & ~ \\
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JsonParser\$Feature & ~ & ~ & ~ & 1 & ~ \\
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exc.StreamReadException & ~ & ~ & ~ & 1 & ~ \\
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util.JsonGeneratorDelegate & ~ & ~ & 1 & ~ & decorator pattern (base
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class), false negative \\
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util.JsonGeneratorDelegate & ~ & 1 & ~ & ~ & decorator, false positive
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(a ``delegation'' instead, pattern not supported by \textit{Pattern4J}) \\
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\midrule
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Total & 3 & 2,5 & 2,5 & 12 & ~ \\
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Percentage & 15,0\% & 12,5\% & 12,5\% & 60,0\% \\
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Total & 3 & 3.5 & 1.5 & 12 & ~ \\
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Percentage & 15.0\% & 17.5\% & 7.5\% & 60.0\% \\
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\bottomrule
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\end{tabular}
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}
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@ -282,8 +282,8 @@ false negative rate of 17.2\%, and an accuracy of 75.0\%.
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] table [meta=C] {
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x y C
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0 0 3
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1 0 2.5
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0 1 2.5
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1 0 1.5
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0 1 3.5
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1 1 12
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};
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\end{axis}
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