Selecting scenarios
What to automate first: business-critical and frequently repeated.
We automate not everything but what is checked often and behaves consistently. Chasing full coverage rarely pays off.
What to automate first: business-critical and frequently repeated.
Resistant to small interface changes, otherwise maintenance eats the benefit.
Preparation and cleanup so runs do not depend on each other.
Tests execute automatically rather than when somebody remembers.
A clear result: what failed, at which step, with a screenshot.
Updating the tests as things change. This is ongoing work, not a one-off.
The first tests appear after two to three weeks. The noticeable effect comes once the main scenarios are covered.
We measure how long manual regression takes today. That shows whether automation will pay off.
The run infrastructure, data handling and reporting.
Tests by priority: first what would be most visible if it broke.
Maintenance as things change and investigation of flaky tests.
A flaky test is worse than no test. If a test fails every other run for no reason, the team stops looking at the results, and real failures get ignored along with it. Such tests must be fixed immediately or deleted.
No. Automated tests check what has already been described, quickly and tirelessly. Only a person can find a new bug in an unfamiliar scenario. Automation frees the tester from routine rather than replacing them.
With rare releases, on a fast-changing interface and on prototypes. If the product is reworked every month, the tests will need rewriting faster than they can deliver value.
Sensible coverage rather than maximum. Usually it is enough to cover the scenarios that make money and those where bugs have occurred before. Chasing a coverage percentage leads to tests written for their own sake.
Tell us how often you release and how long regression takes. We will calculate whether automation pays off.
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