To secure your deployments and prevent each update from becoming a source of errors, it is crucial to integrate automated testing strategies. Non-regression testing (NRT) is an essential safeguard for ensuring the stability of your product.
A regression occurs when a change to the code (bug fix, update, or new feature) unintentionally impacts previously stable parts of the application. The non-regression test (NRT), also known as regression testing, consists of verifying that these changes have not altered the behavior of existing features. In short, we ensure that what worked yesterday still works today.
Depending on your resources and objectives, several approaches can be adopted:
The main challenge is ensuring software quality.
We recommend integrating TNRs as early as possible in the product lifecycle. They are essential during:
These two concepts are often confused, yet their objectives and processes differ.
On the one hand, the functional validation test aims to determine whether a new feature meets the initial requirements. It uses new scenarios, often executed manually at the outset to test positive and negative cases.
On the other hand, non-regression testing seeks to verify that existing systems have not undergone any code breaks. Here, we use test cases that are already known and stable. This is why NRT is the ideal candidate for automation, unlike validation testing, which often requires human intervention when it is first run.
Also known as visual comparison test, it ensures that the user interface (UI) remains identical down to the pixel (pixel perfect) after an update. It checks the location, size, and color of elements (buttons, text, images) on different browsers and resolutions, while ensuring that the mandatory legal notices are present.
Regression testing is, by nature, time-consuming and repetitive. The use of an automated testing tool is therefore best practice. Automation enables continuous testing throughout the development cycle (CI/CD), identifying defects instantly before they reach your end users.
Note on limitations: Despite the power of automation, QA teams must prioritize the most critical scenarios to meet budget constraints and delivery deadlines.
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