A QA Test Case Execution Burndown Report is a visual representation that shows the progress of test case execution over time during a specific testing phase or testing cycle. It helps track the rate at which test cases are being executed and how many test cases are left to complete. This report is widely used in Agile and Scrum methodologies to monitor testing progress and ensure that the testing phase is on track to meet the project's timeline and goals.
The burndown chart typically has the following components:
X-Axis (Horizontal Axis): It represents the time, usually in days or iterations, during which the test cases are executed.
Y-Axis (Vertical Axis): It represents the number of test cases that need to be executed.
Ideal Burndown Line: This is a straight line that connects the starting point (total number of test cases to be executed) with the ending point (zero test cases remaining). It represents the ideal scenario where all test cases are executed at a constant rate and finished by the end of the testing phase.
Actual Burndown Line: This line shows the actual progress of test case execution over time. It might not follow the ideal burndown line exactly due to various factors like scope changes, or fluctuations in team capacity / productivity.
Data Points: These are plotted on the chart to represent the actual number of test cases executed at different points in time.
The video below shows how an Execution Burndown report can be created in Jira using AIO Tests
The QA Test Case Execution Burndown Report is updated regularly during the testing phase, like daily or at the end of each iteration. By analyzing the chart, the team can identify if they are ahead or behind schedule and take corrective actions as needed.
Interpretation of the Burndown Chart:
If the actual burndown line is consistently below the ideal burndown line, it indicates that the team is executing test cases faster than anticipated.
If the actual burndown line is consistently above the ideal burndown line, it suggests that the team is executing test cases slower than planned.
If the actual burndown line fluctuates around the ideal burndown line, it means the team's progress is relatively consistent with the planned rate of execution.
Using this information, project stakeholders can make informed decisions, adjust testing efforts, allocate additional resources if required, and ensure timely delivery of a high-quality product.