Lesson 4: Maintenance, Metrics, Optimization, and Advanced Practice

This lesson develops practical understanding of maintenance, metrics, optimization, and advanced practice within the Advanced Level Test Automation Engineering 2.0 Training. It connects core concepts with realistic testing and quality-engineering decisions.

Learners examine methods, evidence, risks, stakeholder expectations, and implementation considerations before applying the ideas in a focused activity.

Topics Covered

• Brittle tests, flaky tests, false positives, and false negatives
• Refactoring, modularization, synchronization, resilience, and locators
• Metrics for coverage, stability, speed, effectiveness, and maintenance
• Change impact, version compatibility, obsolete tests, and technical debt
• Parallelism, risk-based suites, smart selection, and execution optimization
• Reviewing outcomes and evolving architecture, standards, and processes
• Advanced scenario practice for automation engineering decisions

Practical Activity

Apply the lesson concepts to a realistic Advanced Level Test Automation Engineering 2.0 scenario and document the test approach, evidence, risks, and recommended next actions.

Lesson Outcome

Learners can explain and apply maintenance, metrics, optimization, and advanced practice using structured, risk-aware, and evidence-based testing decisions.