Preventing Random Acts of Metrics
Formal Metadata
| Title | Preventing Random Acts of Metrics |
|
| Title of Series | |
| Number of Parts | 45 |
| Author | |
| Contributors | |
| License | You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor. |
| Identifiers | |
| Publisher | |
| Release Date | |
| Language | |
Content Metadata
| Subject Area | |
| Genre | |
| Abstract | We know that open source is greater than the source code, that people of all skills contribute to the larger ecosystem that is open source software and the communities we grow to invest in people. How do we see this world, quantitatively and qualitatively? Which metrics should we be using and which should we definitely not rely on? We'll review what we have learned in Google's Open Source Programs Office about open source data, metrics, and tracking change in open source ecosystems. |
|
