Part 4: Performance Test Scripting Best Practices (Performance Testing Revision Cheat Sheet)

 

📌 Purpose of Scripting

Performance test scripts simulate real user behavior. Poor scripting → inaccurate results → misleading conclusions.

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🎯 Key Best Practices

1. Record and Enhance

   • Record baseline script using tool recorder (JMeter, LoadRunner, NeoLoad).

   • Remove unnecessary requests (ads, tracking pixels, third-party calls).

2. Parameterization (Data-Driven Testing)

   • Replace hardcoded values with dynamic test data (usernames, IDs, search terms).

   • Prevents cache hits and improves realism.

3. Correlation (Dynamic Value Handling)

   • Capture and reuse session IDs, tokens, cookies from server responses.

   • Essential for stateful applications (logins, transactions).

4. Think Time

   • Add delays between actions to mimic real user behavior.

   • Avoids constant hammering that inflates load unrealistically.

5. Pacing

   • Control how frequently a user repeats a transaction.

   • Balances throughput and realism.

6. Reusable Functions / Modularization

   • Create reusable components (login, search, checkout).

   • Reduces maintenance overhead.

7. Error Handling & Assertions

   • Add assertions/checkpoints to validate server responses.

   • Example: Check if "Order Confirmed" appears after checkout.

   • Failures must be captured → not just ignored.

8. Clean-Up Steps

   • Log out at script end.

   • Reset test data if required (e.g., cancel orders).

9. Script Optimization

   • Remove redundant calls (images, ads).

   • Ensure minimal footprint to focus on business flows.

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🛠️ Deliverables

• Modular & maintainable test scripts.

• Parameterized test data files.

• Correlation rules/framework for dynamic handling.

• Validations for accurate results.