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LAMPIRAN Lampiran 1. Source Code A. Source code Crawling Data Install node.js dan npm # Import required Python package !pip install pandas # Install Node.js !sudo aptget update !sudo aptget install
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How to fill out source code crawling data

01
Identify the target source code repository or website.
02
Choose a web crawling tool or library (e.g., Scrapy, BeautifulSoup).
03
Configure the crawler to navigate the website structure by identifying the starting URL.
04
Define the data extraction rules, specifying which parts of the code to collect (e.g., file types, specific directories).
05
Set up request headers to mimic a browser if necessary to avoid blocking.
06
Run the crawler and monitor its progress.
07
Store the extracted data in an organized format such as JSON or CSV.
08
Review the collected data for completeness and accuracy.

Who needs source code crawling data?

01
Software developers seeking to analyze open-source code.
02
Researchers conducting studies on coding patterns or software construction.
03
Companies interested in benchmarking their code against competitors.
04
Quality assurance teams looking for code compliance and standards adherence.
05
Data scientists needing code samples for training machine learning models.
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Source code crawling data refers to the collected information generated by automated tools that analyze and traverse through source code repositories to gather insights about the structure, components, and dependencies within the code.
Organizations or individuals who develop software and use automated code analysis tools are required to file source code crawling data, especially if mandated by regulatory or compliance frameworks.
To fill out source code crawling data, one should document the examined codebase, list identified components and dependencies, include metadata about the analysis process, and report any issues or vulnerabilities found during the crawling.
The purpose of source code crawling data is to improve code quality, enhance security by identifying vulnerabilities, facilitate project management, and ensure compliance with relevant standards and regulations.
The reported information on source code crawling data should include a summary of the analyzed codebase, a list of dependencies, identified vulnerabilities or issues, dates of analysis, and any recommendations for improvement.
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