Regression Sets

Regression Sets

πŸ“Œ 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.

πŸ™‹πŸ»β€β™‚οΈ 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.

πŸ“… How Can it be used?

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

πŸ—ΊοΈ 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.

βœ… FAQ

What is a regression set in software testing?

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.

Why are regression sets important when updating software?

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.

How are regression sets used in day-to-day software development?

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.

πŸ“š Categories

πŸ”— External Reference Links

Regression Sets link

πŸ‘ Was This Helpful?

If this page helped you, please consider giving us a linkback or share on social media! πŸ“Ž https://www.efficiencyai.co.uk/knowledge_card/regression-sets

Ready to Transform, and Optimise?

At EfficiencyAI, we don’t just understand technology β€” we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.

Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.

Let’s talk about what’s next for your organisation.


πŸ’‘Other Useful Knowledge Cards

Tokenized Data Markets

Tokenized data markets are digital platforms where data is bought, sold, or exchanged using blockchain-based tokens. These markets allow data owners to share or monetise their data by representing access rights or data ownership as digital tokens. This system aims to create a secure, transparent way to trade data while allowing data providers to retain control over how their information is used.

Prompt-Driven Microservices

Prompt-driven microservices are small, independent software services that use natural language prompts as their main way of receiving instructions. Instead of relying on strict programming interfaces or fixed commands, these microservices interpret and act on human-like requests. This approach makes it easier for users and other systems to interact with complex services by describing what they want in plain language. Prompt-driven microservices often use AI or language models to understand and process these prompts, allowing for more flexible and adaptable applications.

Blockchain Consensus Optimization

Blockchain consensus optimisation refers to improving the methods used by blockchain networks to agree on the state of the ledger. This process aims to make consensus algorithms faster, more secure, and less resource-intensive. By optimising consensus, blockchain networks can handle more transactions, reduce costs, and become more environmentally friendly.

Token Density Estimation

Token density estimation is a process used in language models and text analysis to measure how often specific words or tokens appear within a given text or dataset. It helps identify which tokens are most common and which are rare, offering insight into the structure and focus of the text. This information can be useful for improving language models, detecting spam, or analysing writing styles.

Feedback Viewer

A Feedback Viewer is a digital tool or interface designed to collect, display, and organise feedback from users or participants. It helps individuals or teams review comments, ratings, or suggestions in a structured way. This makes it easier to understand what users think and make improvements based on their input.