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Claudio Maggioni 2023-12-28 12:10:06 +01:00
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\begin{document}
\maketitle
\begin{adjustwidth}{-4cm}{-4cm}
\centering
\begin{tabular}{cc}
\toprule
Repository URL & \url{https://github.com/kamclassroom2022/project-02-python-test-generator-maggicl} \\
Commit ID & \texttt{--} \\ \bottomrule
\end{tabular}
\end{adjustwidth}
\vspace{1cm}
\subsection*{Section 1 - Instrumentation}
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effect-size has been used to measure the significance of the difference. Results of the statistical analysis are
shown in table~\ref{tab:stats}.
Only 3 benchmark files out of 10 make the two script have statistical different performance. They are namely
\textit{check\_armstrong}, \textit{rabin\_karp} and \textit{anagram\_check}. The first two show that the genetic algorithm
performs significantly better than the fuzzer, while the last file shows the opposite.
Only 4 benchmark files out of 10 make the two script have statistical different performance. They are namely
\textit{check\_armstrong}, \textit{zeller\_birthday}, \textit{rabin\_karp} and \textit{anagram\_check}.
The first three show that the genetic algorithm performs significantly better than the fuzzer,
while the last file shows the opposite.
\end{document}