Index
A system without automated coverage does not need to wait for a complete suite to start evolving. The first set of tests should protect the behaviors most relevant to the planned change.
How to evaluate this decision
Choose critical journeys and record your current behavior with controlled data. Differentiate between a valid rule and a known defect: reproducing everything indiscriminately can freeze errors. Prioritize boundaries where a change has the greatest effect, such as calculation, integration, and authorization. The objective is to reduce uncertainty for a concrete delivery, not to maximize a coverage number unrelated to risk.
Criteria for comparing proposals
- Excerpt: relating tests to the change and affected consumers.
- Reference: document expected results and defects that should not be preserved.
- Execution: make the set repeatable and independent of changeable productive data.
A scenario to discuss with the supplier
Hypothetical example: A change in the discount calculation affects old orders. Testing with known historical conditions helps check compatibility before publishing the change.
What to validate upon delivery
Run the tests before and after the intervention and check if they detect an incorrect change introduced in a controlled way. A suite that always passes may not protect the expected behavior.
Prepare the conversation about the project
Quantum9 can create incremental protection during legacy evolution. Bring the priority change and the most consequential journeys to define useful coverage for the next cycle.
Software engineering and quality · Map the company's priority