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Claudio Maggioni 2023-11-08 22:31:16 +01:00
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@ -34,6 +34,7 @@
\usepackage{subcaption}
\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{changepage}
\usepackage{hyperref}
\title{Knowledge Management and Analysis \\ Project 01: Code Search}
@ -44,6 +45,17 @@
\maketitle
\begin{adjustwidth}{-4cm}{-4cm}
\centering
\begin{tabular}{cc}
\toprule
Repository URL & \url{https://github.com/kamclassroom2022/project-01-multi-search-maggicl} \\
Commit ID & \texttt{b8e0a2c3c41249e45b233b55607e0b04ebe1bad0} \\ \bottomrule
\end{tabular}
\end{adjustwidth}
\vspace{1cm}
\subsection*{Section 1 - Data Extraction}
The data extraction (implemented in the script \texttt{extract-data.py}) process scans through the files in the
@ -55,14 +67,14 @@ Additionally, the data shows that a class has slightly more than 2 methods in it
\begin{table}[H]
\centering
\begin{tabular}{cc}
\hline
\toprule
Type & Number \\
\hline
\midrule
Python files & 2817 \\
Classes & 1882 \\
Functions & 4565 \\
Methods & 5817 \\
\hline
\bottomrule
\end{tabular}
\caption{Count of created classes and properties.}
\label{tab:count1}
@ -243,14 +255,14 @@ model has the lowest precision ($73.33\%$) and lowest recall ($80.00\%$).
\begin{table}[H]
\centering
\begin{tabular}{ccc}
\hline
\toprule
Engine & Avg Precision & Recall \\
\hline
\midrule
Frequencies & 93.33\% & 100.00\% \\
TD-IDF & 90.00\% & 90.00\% \\
LSI & 90.00\% & 90.00\% \\
Doc2Vec & 73.33\% & 80.00\% \\
\hline
\bottomrule
\end{tabular}
\caption{Evaluation of search engines.}
\label{tab:tab2}