The JIRA Ticket Analytics app downloads and analyzes issue tickets on a JIRA server.
The infographic provides four charts:
- Percentage of Reopened Tickets. This bar charts gives the number of tickets for each developer which was reopened after it had been closed. Essentially, this measures how often a developer fails to fix a problem on the first attempt.
- Median Resolution Time. This chart plots the distribution of ticket resolution times for each developer. The blue bar gives the range of the 25% percentile (i.e. the time in which 25% of the tickets are resolved) to the median (i.e. the time in which half of the tickets are resolved). The red bar gives the time range from the median to the 75% percentile.
- Top Words in Blocker Tickets. These are the words that appear frequently in tickets with "Blocker" priority.
- Top Words in Critical Tickets. These are the words that appear frequently in tickets with "Critical" priority.
Connection and Import
The data is imported using the import jobs Tickets and ReopenedTickets, both of which are based on the JiraConnection connector. You can change the setting in the connector to configure a different JIRA server. For the public apache.org JIRA server, select the following settings:
In the two import jobs, you can configure, which tickets should be selected for the analysis. For example, if you configure the Ticket import job to use the query
project="HADOOP" AND created >= "2008/01/01",
the app fetches all tickets in the Hadoop project which where created after January 1st, 2008. The ReopenedTickets query must contain the clause
(status was reopened OR status = reopened),
so that the the app can compute the Percentage of Reopened Tickets chart correctly.
The actual analysis is done the Engineering workbook. Here, the TopReopened sheet lists the developers sorted by percentage of reopened tickets, sortedDuration calculates the distribution of resolution times, and the TopBlockerWords and TopCriticalWords sheets give frequently occurring words.