\section{Proposed model}
\label{sec:objectives}

Crafting a robust proposed method section for a thesis involves a strategic combination of clarity, detail, and alignment with research objectives. Firstly, provide a clear and concise overview of the overall research design, outlining the chosen methodology and its appropriateness for addressing the research questions or hypotheses. Clearly articulate the rationale behind the selected method, considering its strengths and limitations. This introductory part sets the stage for a comprehensive understanding of how the research will be conducted and why the chosen approach is most apt for the study.

In the subsequent paragraphs, delve into the specific details of the proposed method, breaking it down into key components. Define variables, measurement instruments, and procedures with precision. Clearly articulate the steps involved in data collection, analysis, and interpretation. If applicable, discuss any experimental conditions, sampling techniques, or control measures that will be implemented. A meticulous consideration of these details is crucial for the reader to evaluate the validity and reliability of the proposed method. Transparency in detailing the methodological approach also establishes a foundation for reproducibility and ensures the study's scientific rigor.

Lastly, demonstrate a clear alignment between the proposed method and the overarching research objectives. Articulate how the chosen methodology directly addresses the research questions or hypotheses, emphasizing its suitability for capturing the nuances of the study. Address potential challenges or limitations associated with the proposed method and explain how these will be mitigated. This alignment not only strengthens the methodological foundation but also underscores the thoughtfulness and coherence of the research design. In summary, an effective proposed method section combines a clear rationale for the chosen approach, detailed procedural explanations, and a strong alignment with research goals to provide a comprehensive roadmap for the study.

\begin{figure}[h]
    \centering
    \includegraphics[width=10cm]{images/proposed_uml.png}
    \caption{Uml diagram of the proposed model}
    \label{fig:mesh1}
\end{figure}


\begin{table}[ht]
    \centering
    \caption{Example Software Metrics}
    \label{tab:software_metrics}
    \begin{tabular}{l p{6cm} l}
        \toprule
        \textbf{Metric} & \textbf{Description} & \textbf{Example Value} \\
        \midrule
        Lines of Code (LOC) & The total number of lines in the source code, excluding comments and blank lines. & 1500 \\
        
        Cyclomatic Complexity & Measures the complexity of a program based on the number of linearly independent paths through its source code. & 20 \\
        
        Code Duplication Percentage & The percentage of code that appears in more than one location in the codebase. & 5\% \\
        
        Code Coverage & The percentage of code covered by automated tests. & 80\% \\
        
        Response Time & The time taken by a system to respond to a user request or input. & 300 milliseconds \\
        
        Bug Density & The number of bugs identified per unit of code (e.g., per 1000 lines of code). & 3 bugs/KLOC \\
        
        Maintainability Index & A composite metric that measures the maintainability of the codebase, considering factors like complexity and code duplication. & 75 \\
        \bottomrule
    \end{tabular}
\end{table}

\newpage