Comparison Testing/Parallel Testing - Notes By ShariqSP

Comparison Testing (Parallel Testing)

Comparison testing, also known as parallel testing, involves running the same tests on two versions of an application (e.g., the current version and a new version) to compare their performance, accuracy, and outputs. This testing method is particularly useful when migrating to a new system or upgrading a significant feature. Here’s a step-by-step guide on how we conduct comparison testing:

1. Define Test Objectives and Scope: We start by outlining the goals of comparison testing, such as ensuring data accuracy, validating feature consistency, or benchmarking performance between versions. Establishing these objectives helps us focus on key areas for comparison.
2. Select Systems or Versions for Comparison: In this step, we determine which versions of the application we will test. This often includes the current (production) version and the new or updated version, but it can also include legacy systems if we’re migrating data or features.
3. Prepare Test Cases and Data: We design test cases that cover core functionalities and select consistent test data to ensure fair comparisons. Test cases may include functional tests, performance tests, and data validation checks to evaluate system behavior.
4. Set Up Testing Environments: We deploy both versions in separate, controlled environments that mimic the production setting as closely as possible. This ensures that external variables do not influence the test results, allowing for a more accurate comparison.
5. Execute Tests in Parallel: With both versions ready, we run the same set of tests simultaneously on each version. By performing tests in parallel, we can directly observe differences in outputs, performance metrics, or user experience.
6. Capture and Compare Results: We collect the outputs and metrics from both versions, including response times, data accuracy, feature consistency, and system stability. These results are compared to identify any discrepancies or improvements.
7. Analyze Discrepancies: For any observed differences, we analyze the root causes to determine if they are due to expected changes or potential issues. This step helps us validate if the new version meets or exceeds the performance of the current version.
8. Document Findings and Make Recommendations: We document all findings, noting any areas where the new version needs improvement. If necessary, we recommend adjustments or optimizations to ensure that the new version aligns with the desired outcomes.
9. Re-test After Adjustments: After making any necessary changes, we may conduct additional comparison tests to confirm that issues have been resolved. This ensures the new version is fully ready for deployment without regression or performance issues.

Comparison testing provides a reliable method for validating new software versions, reducing migration risks, and ensuring that upgrades do not negatively impact performance or data accuracy. This process helps ensure a smooth transition to the new version with confidence in its stability and consistency.