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Issues Active

Question: How many issues were active during a certain period?

Overview

This metric measures the number of issues that showed activity during a given period. Active issues are those that had comments, status changes, or were closed during the specified time frame. These issues indicate the level of interaction and work being done on a project, particularly in managing tasks, bugs, or feature requests.

Tracking active issues can help assess project activity and progress. High numbers of active issues may suggest an engaged community, while low numbers might indicate stagnation. For projects focused on DEI (Diversity, Equity, and Inclusion), this metric may help highlight participation patterns from different contributors.

Want to Know More?

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Data Collection Strategies 

  • Collect data from issue tracking platforms (GitHub, GitLab, Jira, Bugzilla).
  • Gather specific data points such as comments, status changes, and issue closings.

Specific description: GitHub

In the case of GitHub, active issues are defined as "issues which get a comment, a change in tags, a change in assigned person, or are closed".

Specific description: GitLab

In the case of GitLab, active issues are defined as "issues which get a comment, a change in tags, a change in assigned person, or are closed".

Specific description: Jira

In the case of Jira, active issues are defined as "issues which get a comment, a change in state, a change in assigned person, or are closed".

Specific description: Bugzilla

In the case of Bugzilla, active issues are defined as "bug reports which get a comment, a change in state, a change in assigned person, or are closed".

Filters 

  • By Actor: Submitter, commenter, or closer.
  • By Group: Group by employer, gender, or other actor attributes.
  • By Time Period: Specify the start and end dates for analysis.
  • By Ratio: Ratio of active issues to total issues.

Visualizations

  • None Specified


References

None specified

Contributors

None specified

Additional Information

The usage and dissemination of health metrics may lead to privacy violations. Organizations may be exposed to risks. These risks may flow from compliance with the GDPR in the EU, with state law in the US, or with other laws. There may also be contractual risks flowing from terms of service for data providers such as GitHub and GitLab. The usage of metrics must be examined for risk and potential data ethics problems. Please see CHAOSS Data Ethics document for additional guidance.

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