How the score is calculated?
Before the math...
Below this section you will find a short description how current score of an eCommerce platform is calculated.
I do realize that there are many, many factors which should be included in the score... and that is when I do need your help.
Send me a message / reach out to me on twitter / facebook / linkedin / phone(?) and let's discuss better ways to score those eCommerce platforms!
The "math":
This is nothing complex and current formula is based only on
- issue data
- pull request data
- number of bugs
- latest release
It's simple: score is based on weighted average
| Number of confirmed bugs | Number of issues | Average open issue lifetime | Average PR lifetime (merged) | Last official release date | Contributors count | score (x) |
|---|---|---|---|---|---|---|
| up to 49 | up to 50 | below 2 weeks | below 2 weeks | in last 30 days | above 500 | 10 |
| 50-99 | 51-100 | 2-4 weeks | 2-4 weeks | 30-60 days ago | 250-500 | 8 |
| 100-249 | 101-250 | 4-8 weeks | 4-8 weeks | 60-150 days ago | 125-250 | 6 |
| 250-499 | 251-500 | 8-24 weeks | 8-24 weeks | 150-250 days ago | 50-125 | 4 |
| 500-749 | 501-750 | 24-48 weeks | 24-48 weeks | 250-500 days ago | 25-50 | 2 |
| above 750 | above 750 | above 48 weeks | above 48 weeks | over 500 days | 10-25 | 1 |
Weights
| Param | weight (w) |
|---|---|
| number of confirmed bugs | 10.00 |
| number of issues | 2.00 |
| average open issue lifetime | 1.50 |
| average PR lifetime (merged) | 4.00 |
| Last official release date | 5.00 |
| Contributor count | 5.00 |