ieee-code-report

You can generate an IEEE-formatted research paper from a codebase by using an automated tool that parses the code, analyzes architecture and complexity, and outputs a compilable LaTeX .tex file using the IEEEtran class. This approach eliminates manual text formatting and accelerates publication.

Automated LaTeX document generation for code analysis is the process of parsing a codebase to extract performance metrics and architectural insights, then compiling those findings directly into a structured IEEE-compliant research paper. It bridges software engineering and academic publishing without manual writing.

Yes, you need a Python environment with pandas, numpy, and matplotlib to automate research paper generation from code. These dependencies handle data manipulation, numerical analysis, and visualization, which are required to analyze codebases and populate the LaTeX report structure.

While python-docx and reportlab are included dependencies, the core IEEE-formatted report generation specifically produces compilable LaTeX .tex files using the IEEEtran class. The python-docx and reportlab libraries may support auxiliary document processing or alternative format exports within the workflow.

The best way to publish code-based research in academic journals is to automate the extraction of architecture, algorithms, and performance metrics from your codebase into a formal IEEE-compliant LaTeX paper. This ensures formatting compliance and significantly reduces the time to publication.

If your automated code analysis report fails to compile in LaTeX, it is likely due to missing IEEEtran class files or errors in the generated .tex structure. The tool requires a valid LaTeX environment to process the deep code analysis and generate the final research paper document.