📌 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
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.
📚 Categories
🔗 External Reference Links
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — 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.
💡Other Useful Knowledge Cards
Smart Contract Auditing
Smart contract auditing is the process of reviewing and analysing the code of a smart contract to find errors, security vulnerabilities, and potential risks before it is deployed on a blockchain. Auditors use a mix of automated tools and manual checks to ensure the contract works as intended and cannot be exploited. This helps protect users and developers from financial losses or unintended actions caused by bugs or malicious code.
Workforce Analytics
Workforce analytics is the process of collecting, analysing, and interpreting data about employees and workplace trends to help organisations make better decisions. It uses information from sources like attendance records, employee surveys, and performance data to identify patterns and areas for improvement. By understanding this data, companies can improve hiring, boost productivity, and retain valuable staff.
Decentralized Credential Systems
Decentralised credential systems are digital methods for issuing and verifying qualifications, certificates, or proofs of identity without relying on a single central authority. Instead, these systems use distributed technologies such as blockchain to ensure credentials are secure, tamper-resistant, and easily shareable. This approach gives individuals more control over their personal information and makes it harder for credentials to be forged or altered.
Neural Architecture Pruning
Neural architecture pruning is a method used to make artificial neural networks smaller and faster by removing unnecessary parts, such as weights or entire connections, without significantly affecting their performance. This process helps reduce the size of the model, making it more efficient for devices with limited computing power. Pruning is often applied after a network is trained, followed by fine-tuning to maintain its accuracy.
Source-to-Pay Digitisation
Source-to-Pay digitisation is the process of using digital tools and systems to manage the entire journey from finding suppliers to paying them. It covers every step, including supplier selection, contract management, purchasing, and invoice processing. By digitising these steps, organisations can improve accuracy, speed, and transparency in their purchasing activities.