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After the tests passes

When preparing legacy code for unit tests

When I can see the debt building in the code

After the tests fails

Improves quality in the requirement itself.

Promotes the use of the DRY principle.

Tracking of completeness.

Using a code generation tool, the solution can be generated from the requirements model.

Clear acceptance criteria for each feature.

Team manager

Project manager

Requirements engineer

Mediator for the developers and customers

Value optimizer

A technique for ensuring that units of co-dependent systems integrate correctly

A way to ensure product code satisfies the user requirements

A test that isolates and verifies individual units of functionality

A test that ensures a specific method integrates properly with the code calling it

The behavior of a given object can be emulated to the system under test

They are machine-generated and eliminate the need to write code by hand

To increase tight coupling

TDD is impossible without them

Isolating a particular system component for controlled testing

Additions features in a usable state that complement those delivered in previous iterations

UML diagrams that describe how to deliver functionality in future iterations

A new user interface design for functionality delivered in previous iterations

An automated test suite to verify functionality delivered in previous iterations

A decomposition of all product backlog items into tasks for future sprint backlog lists

Managers doing performance reviews by comparing one programmer’s code to another’s

Two developers writing code together, providing constant peer review

Two programmers writing code separately, but always review each other’s pull requests

Developer and tester work together to write and test code

Meet with the business analyst to ensure that the test is correct.

Write the minimum amount of product code to satisfy the test.

Run it again to make sure it really fails.

Implement the required functionality.

Refactor the test so the code passes.