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Performance and benchmark testing

Performance And Benchmark Testing Deep Dive

Overview

This testing area improves confidence by focusing on macro vs micro benchmarks, regression thresholds, and device variance.

Core Concepts

  • Prefer deterministic tests over broad but brittle coverage.
  • Test behavior contracts rather than implementation details.
  • Keep test ownership close to code ownership.

Test Pyramid and Strategy

  • Place this topic at the correct layer in the pyramid.
  • Reserve expensive tests for high-risk regressions.
  • Use risk history to prioritize suite depth.

Tooling and Infrastructure

  • Standardize fixture builders and dependency overrides.
  • Keep environment setup hermetic and repeatable.
  • Use CI sharding to maintain feedback speed.

Flaky Test Mitigation

  • Remove hidden time and thread dependencies.
  • Replace sleeps with explicit synchronization.
  • Quarantine only as a temporary safety valve.

Code Examples

@Test
fun sample() = runTest {
    // Arrange
    // Act
    // Assert
}

Common Interview Questions

  • Q: Why does this test belong at this layer? A: Answer by test pyramid intent: unit for logic speed, integration for boundaries, and end-to-end for critical journeys with flakiness controls.
  • Q: What failure mode does this suite catch best? A: Answer by test pyramid intent: unit for logic speed, integration for boundaries, and end-to-end for critical journeys with flakiness controls.
  • Q: How do you keep signal high as suite size grows? A: Answer by test pyramid intent: unit for logic speed, integration for boundaries, and end-to-end for critical journeys with flakiness controls.

Production Considerations

  • Tie test gates to release risk and incident history.
  • Track regression escape rate as an outcome metric.
  • Keep slow, low-signal tests under review.

Performance Insights

  • Fast suites enable frequent refactoring and safer iteration.
  • Deterministic async testing reduces rerun waste in CI.

Senior-Level Insights

  • Great answers explain tradeoffs between confidence, cost, and team velocity.