codereview-analyzer
Описание
Analyze your code review
Языки
- TypeScript95,4%
- JavaScript2,9%
- CSS1,1%
- HTML0,6%
4 года назад
2 года назад
2 года назад
3 года назад
2 года назад
3 года назад
4 года назад
4 года назад
4 года назад
2 года назад
2 года назад
2 года назад
2 года назад
README.md
Code Review Analyzer
Allows you to find analyze your pull requests and find different patterns.
Available charts
| № | Chart Name | Description | Available for specific user |
|---|---|---|---|
| 1 | Enables the analysis of how frequently each user initiates discussions on a monthly basis | Enables the analysis of how frequently each user initiates discussions on a monthly basis | ✅ |
| 2 | Discussions started with person per month | Allows to analyze how many discussions started with each user by other users per month | ✅ |
| 3 | Top 10 Longest Discussions | Shows discussions with the greatest number of comments | ✅ |
| 4 | Discussions started with person (PieChart) | Shows how discussions are distributed among authors of pull requests | |
| 5 | Discussions started by person (PieChart) | Shows how discussions are distributed among reviewers | |
| 7 | Discussions started with person (BarChart) | Shows how discussions are distributed among authors of pull requests and who starts those discussions | ✅ |
| 8 | Discussions started by person (BarChart) | Shows how discussions are distributed among reviewers and who they start discussions with | ✅ |
| 9 | Changes to Discussions correlation | Allows to analyze whether there is correlation between changed files count and discussions count started in the pull requests | |
| 10 | Comments left by person per month | Enables the analysis of how frequently each user leaves comments on a monthly basis | ✅ |
| 11 | Tags cloud created from most popular words in comments | Displays the most popular words that appear in comments to pull requests | ✅ |
| 12 | Pull Requests reviews by user | Displays how many pull requests were assigned to the user to make a review and how many were actually reviewed and approved | ✅ |
| 13 | Top 10 Most commented Pull Requests | Highlights pull requests with the highest volume of comments | ✅ |
| 14 | Comments left by person (PieChart) | Shows how comments are distributed among reviewers | |
| 15 | Comments left by person (BarChart) | Shows how comments are distributed among reviewers and who they leave comment to | ✅ |
| 16 | Comments received by person (PieChart) | Shows how comments are distributed among authors of pull requests | |
| 17 | Comments received by person (BarChart) | Shows how comments are distributed among authors of pull requests and who leaves those discussions | ✅ |
| 18 | Commented Files | Displays which files users usually leave comments on during code reviews | ✅ |
| 19 | Approved By | Displays whose pool requests each user approves | ✅ |
| 20 | Approvals Received By | Displays who approves pull request of each user | ✅ |
| 21 | Review Requested From | Shows whom users frequently request reviews from and displays the individuals who ask to review their changes | ✅ |
| 22 | Review Requested By | Shows which users frequently request reviews from others and displays the individuals they ask to review their changes | ✅ |
| 23 | Daily reviews | Enables the analysis of how frequently each user reviews on a daily basis | ✅ |
| 24 | Pull Requests created by user | Displays the number of pull requests contributed by each user | |
| 25 | Review Ration | Shows review ration for every developer - the probability that the developer will review a pull request assigned to him. | |
| 26 | Created Pull Requests | Shows count of pull requests created daily | ✅ |