YoVDO

A Beginner's Guide to Open Source Metrics and Analysis

Offered By: Linux Foundation via YouTube

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Data Analysis Courses Software Development Courses Data Visualization Courses GitHub Courses Version Control Courses Software Engineering Courses Data Management Courses Data Privacy Courses

Course Description

Overview

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Learn about open source metrics and analysis in this 24-minute conference talk by Sophia Vargas from Google. Explore the challenges of working with messy data, including ambiguity, inconsistencies, and bot activity in source code logs. Understand the importance of accountability, data sharing policies, licenses, and privacy documentation in open source projects. Discover good data practices, avoid misleading metrics, and gain insights into useful tools for analyzing open source contributions. This beginner-friendly presentation covers essential topics for anyone interested in measuring and understanding open source project dynamics.

Syllabus

Intro
Sophias background
Data is messy
Data issues
Ambiguity
Source Code Logs
Inconsistencies
Bots
Bots on Github
People
Layers
Accountability
PI
Data Sharing
Policies Licenses
Policy and Regulation
Privacy Documentation
Good Data Practices
Misleading Metrics
Tools
Conclusion


Taught by

Linux Foundation

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