AI SDLC
TestingMay 21, 2026· 8 min· 2 945

100% traceable test coverage: myth or reality

In AI SDLC, coverage is measured by traceability, not by lines of code. Every test is linked to requirements, use cases and implementation.

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Line coverage can look good and still miss the most important business scenarios. AI SDLC measures coverage differently: by links between requirements, use cases, code, tests and defects.

Why line coverage is not enough

A test can execute many lines and still fail to prove that the system does what the business needs. Real quality starts from the requirement and follows the chain to the test.

Tests come from three sources

  • Requirements create functional tests
  • Architecture creates integration tests
  • Code creates unit tests
Требование
Use Case
Код
Тест
Дефект
100% покрытие по трассируемости
Сквозная трассируемость связывает все артефакты

Why tests do not go stale

When requirements or code change, linked tests can be updated with the model. The team sees what is covered, what changed and where gaps remain.

Effect

Traceable coverage gives clear quality evidence: what requirement is tested, by which test, and what defect it protects against.

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100% трассируемое покрытие тестами: миф или реальность / 100% traceable test coverage: myth or reality, AI SDLC