📌 Regression Sets Summary

Regression sets are collections of test cases used to check that recent changes in software have not caused any existing features or functions to stop working as expected. They help ensure that updates, bug fixes, or new features do not introduce new errors into previously working areas. These sets are usually run automatically and are a key part of quality assurance in software development.

🙋🏻‍♂️ Explain Regression Sets Simply

Imagine you have a big Lego castle that you keep adding pieces to. Each time you add something new, you check that the drawbridge still works and the doors still open, just like before. A regression set is like your checklist to make sure nothing you built earlier has broken while you were making improvements.

📅 How Can it be used?

A regression set can be used to automatically retest core website functions after each new software update.

🗺️ Real World Examples

A mobile banking app team maintains a regression set that tests logging in, checking balances, and transferring money. Whenever they add new features, they run this set to confirm that users can still perform basic banking tasks without issues.

An e-commerce website uses regression sets to check that adding items to a cart, applying discount codes, and completing purchases work correctly after updating the payment gateway integration.

✅ FAQ

A regression set is a group of tests that help make sure new changes to software do not accidentally break anything that was working before. By running these tests every time updates are made, teams can quickly catch if something goes wrong in parts of the software that were not meant to be changed.

Regression sets are important because they give peace of mind that improvements or bug fixes will not cause other problems. Without them, it can be easy to miss issues that only show up after a change, leading to unhappy users or extra work to fix mistakes later on.

In daily development, regression sets are often run automatically whenever changes are made to the software. This helps catch problems early, so developers can fix them before they become bigger issues. It saves time and helps keep the software reliable for everyone who uses it.

📚 Categories

• Data Science
• Model Optimisation Techniques
• Model Training & Tuning

🔗 External Reference Links

Regression Sets link

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