# Regression Testing

> **Quick answer**: Regression testing is a software testing process that verifies recent code changes have not broken existing functionality. It involves re-running test cases to confirm all features work correctly after updates, preventing data inaccuracies and workflow failures. This practice is essential in dynamic environments with frequent software updates. Derrick maintains data quality through its Google Sheets-native architecture, where enrichment formulas remain stable across updates without requiring separate testing infrastructure.

*Canonical: https://derrick-app.com/glossary/regression-testingx*

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## Definition Regression Testing

Regression Testing is a software testing process used to ensure that recent changes to a program or codebase have not adversely affected existing features.In the context of digital marketing and sales automation, regression testing is crucial for maintaining the integrity of data enrichment processes and ensuring that updates or enhancements to software systems do not unintentionally disrupt data operations. By systematically re-running existing test cases, teams can confirm that all aspects of the software are functioning as expected after any modifications. This practice is vital for maintaining user trust and system reliability, as it helps prevent errors that could lead to data inaccuracies, inefficiencies, or failures in automated workflows. Regression testing is particularly important in dynamic environments where software applications are frequently updated to meet evolving business needs and technological advancements.

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## Here is an exemple of : Regression Testing

For example, imagine a marketing automation platform that integrates with a CRM system to enrich customer data and trigger personalized email campaigns. When developers add a new feature that allows segmentation based on website behavior, regression testing becomes essential. The QA team would run tests to verify that existing functionalities—such as lead scoring, contact record updates, and scheduled email deliveries—continue to work properly. They might discover that the new code inadvertently altered how certain customer attributes are processed, causing some contacts to be incorrectly categorized. By catching and fixing this issue before deployment, the team prevents a scenario where marketing campaigns target the wrong audience segments, which could damage customer relationships and reduce campaign effectiveness. This systematic verification ensures that every enhancement builds upon a stable foundation rather than introducing new problems.

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