![]() ![]() Npm audit is a command that you can run in your Node.js application to scan your project’s dependencies for known security vulnerabilities-you’ll be given a URL that you can visit to learn more, and information about what versions have fixed this vulnerability. Today, we’re taking another step in bringing all this together for both npm and GitHub by announcing that the GitHub Advisory Database now powers npm audit. 2.Supply chain security is one of the most important parts of software development today, and we want to make developing securely as easy as possible for developers. Total number of pulls created every DAY of the Week (total on Mondays, Tuesdays, etc.) Etc. Total number of pulls created every month. Total number of forks created every DAY of the Week (total on Mondays, Tuesdays, etc.) Total number of pulls created every year. Total number of forks created every month. Total number of questions created every DAY of the Week (total on Mondays, Tuesdays, etc.) Total number of forks created every year. Total number of questions created every month. Total number of issues created every DAY of the Week (total on Mondays, Tuesdays, etc.) Total number of questions created every year. Total number of issues created every month. Update the BugHub Graph Data Model (use Netowkrx Package) to attach/add to every Repo node a new node called Gauge Metrics that has the following metrics: Total number of issues created every year. Update the provided IPYNB script, Assignment_5_Part_3, with your code and output. Requirements Specification: Reuse and update the work that you have completed in Assignment_5_Part_2, and the requirements specification document for BugHub, to complete the requirements listed below. Panopto video recording (MP4 file) of a live run (5 to 10 minutes) of your code on your personal development computer. Your submitted ZIP file must have the name: Assignment_5_Part_3_Your_LastName Deliverables: Your ZIP file for the Assignment submission must include the following: The updated IPYNB script that has all source code that you wrote, installed, compiled, and built on your personal development computer. Submission: Submit your assignment as a SINGLE ZIP file online by the due date. Minorsky)Īssignment Part 3 Atef Bader, PhD Overview: In this Assignment you will use Anaconda/Python (3, 3, or 3)) on your development computer and reuse/update the provided ipynb scripts on your computer.
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