Quality Assurance Acceptance Criteria
One of the best ways to measure quality assurance in scrum is by having QA acceptance criteria in place. It will be checked by testers after each sprint.
It will help identify if the criteria have not been met. Thus, one will know if the sprint has failed and needs some type of improvement before it can be integrated into the code.
If you want to ensure that the QA acceptance criterion is valid, then you need to keep the following things in mind.
Automatic Test Runs
They should be complete and easy to understand for non-developers and for the average coder.
All Bugs to be Filed Correctly
The bugs need to be filed correctly, and there needs to be an explanation for it.
Sensible and Complete Test Scripts
The script needs to be complete and sensible and be applicable for fixing bugs.
The QA criterion does not have to be very technical to allow for a non-developer to check it quickly. The testers should have some professional background. The scrum team members should be made aware of what needs to be done to pass the acceptance criteria. As simple as it sounds, a good test script can’t be faked.
No Random Metric Quality Check
The acceptance criteria need to be such as it should not allow smart individuals to work around it for their personal benefit. This means that there shouldn’t be a random metric quality check in place.
Here are some examples of test which will help measure quality assurance in Scrum.
- Tests by Grouping
- Test Case Pass Rate
- The number of Bugs Found Per Module.
- The number of Bugs Found Per Build.
- Qualified Priority of Bugs Found
- Time Between Bugs Found
- Time to Perform Test Bugs Found Per test
- Mean Time Between P1 Bugs
Measuring how many bugs are found in a project and setting a specific limit on the number of bugs which should be noticed is an effective way to measure quality assurance in Scrum
Same Metrics for All
In scrum, everyone is treated the same and has to undergo the same metrics meaning that no matter if it is the developer or any other person.
There needs to be a variance of delay metric in place, and the reasons behind the variations need to found. Everyone will all be judged using the same metrics in place and not other parameters. However, it is possible to have metrics in place for quality assurance personnel.
- Percentage of bug issues which come up.
- Rate of bugs withdrawn.
- Rate of total documented tests which have been automated.
- Rate of code leverage.
- Rate of bugs found manually and through automation.