Analytics
Test Run

Test Run

A focused view of execution speed and efficiency for the selected time range, environment, and branches. It surfaces headline timing KPIs and trend charts so teams can track pipeline health and spot slowdowns early.

Key Metrics

Metrics

1. Average Run Time

Shows the mean duration of all test runs in scope. Indicates the typical time your pipeline requires to complete. Use it as a baseline for tracking daily performance.

2. Fastest Run

Displays the shortest single run duration in the selected window. The “Best yet” badge marks a new record relative to previous data in your project.

3. Speed Improvement

Percentage change in average run time compared to the previous period. A higher positive value means runs are faster than before.

4. Time Saved

Total time saved from performance gains, compared to prior runs in the comparison period. Quantifies the cumulative benefit of optimizations.

Speed by Branch Performance

Branch performance speed comparison

A column chart that compares average test run time across branches. A baseline helps you see which branches are above or below the target. Hover to view each branch’s average duration and test run count.

Test Execution Efficiency Trends

Test execution efficiency trends over time

This is an area chart of average run duration per day. Highlights gradual drifts or sudden regressions in runtime. Hover to see the day’s average and test run count.

Test Run Speed Distribution

Test run speed distribution categories

Stacked bars that bucket daily runs into Fast, Normal, and Slow groups based on duration thresholds. Reveals whether slow runs are isolated or common on a given day.