Quality Requirements

This section defines the core quality goals, focusing on aspects that are verifiable via automated unit and performance tests.

Top Quality Goals

1. Efficiency: The simulation logic must remain fast enough to allow 60 FPS rendering.
2. Reliability: Physics and AI pathfinding must behave predictably in complex or high-speed situations.
3. Integrity: Gameplay mechanics (like power-ups and feedback triggers) must function according to the design rules.

Quality Tree

Quality Scenarios

Scenario 1: Logic Step Performance (Efficiency)

• Stimulus: A combat situation with 8 tanks and 100+ active projectiles.
• Measure: The average execution time of the game.step() function must be significantly below 16.6ms (target < 2ms) to leave headroom for rendering.
• Verification: tests/performance/stress.test.ts

Scenario 2: Engine Robustness (Reliability)

• Stimulus: Fast-moving objects hitting corners or bots navigating complex mazes.
• Measure:
  • (Physics): Bullets do not tunnel through walls at speeds up to 2000px/s.
  • (AI): The Autopilot always selects a target coordinate that reduces the Dijkstra distance to the objective.
• Verification: tests/quality/robustness.test.ts, tests/quality/ai_stability.test.ts

Scenario 3: Gameplay Logic & Balance (Integrity)

• Stimulus: A tank collects a power-up or is destroyed.
• Measure:
  • (Balance): Power-up effects (e.g., SpeedBonus) are reverted exactly after their defined duration.
  • (Feedback): System events (e.g., kill()) correctly trigger the necessary UI/Canvas responses (e.g., shake()).
• Verification: tests/quality/gameplay.test.ts