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Quality Trends and Forecasting
7.1Using Data to Predict the FutureThe most valuable thing a QA engineer can do with metrics is not report what happened -- it is predict what will happen. Quality trends…7.2Tracking Quality Trends Over TimeEvery quality metric, measured over time, answers one question: Is it getting better, worse, or staying the same?7.3Predicting Release ReadinessA composite metric that combines multiple quality indicators into a single go/no-go signal.7.4Defect Arrival CurvesA defect arrival curve tracks the rate at which new bugs are discovered over time during a testing cycle. The shape of the curve tells you…7.5Burndown Charts for Bug ResolutionA bug burndown shows the remaining open bugs over time, tracking whether the team is closing bugs fast enough to meet the release date.7.6Leading vs Lagging Quality IndicatorsLagging indicators tell you what already happened. By the time you see a spike in production defects, the damage is done. Leading…7.7Using Historical Data to Improve EstimationQA engineers consistently underestimate testing effort because they estimate based on the happy path and forget about: - Environment setup…7.8Continuous Improvement: Using Metrics to Drive Process ChangesIf a process change does not improve the target metric after 3-4 sprints:7.9Building a Metrics Practice from Scratch- Choose 3-5 core metrics (defect escape rate, automation ratio, flaky rate, bug fix cycle time, customer-reported defects) - Set up basic…7.10Hands-On Exercise1. Plot the escaped defect rate for your team over the last 6 sprints. Is it converging toward zero, flat, or increasing? 2. Create a…