Whitepapers

Dive Deeper: Specialized Insights and Knowledge to Master Key Areas of Expertise

Quality assurance at the cutting edge

The optimal time for automated testing

This white paper analyses the specific challenges and opportunities that 2024 holds for quality assurance in software development. It takes an in-depth look at how automated testing in this context can not only help improve product quality, but also accelerate the development cycle and reduce overall costs. The main focus is to help organisations determine the optimal time to implement automated testing strategies in 2024.

 

A Roadmap for Success in 2023

Unleashing the Power of Automated User Acceptance Testing in Agile Development

User Acceptance Testing (UAT) plays a vital role in agile development methodologies as the final step in the development cycle. Its purpose is to evaluate software from an end-user perspective, ensuring that it meets the desired functionality, usability, and overall quality. By conducting UAT, potential issues, bugs, and usability concerns can be uncovered, enabling early detection and resolution. This process ultimately leads to the creation of a more refined and user-centric product. 

Game Changer for Automated Testing

Creating test cases is 77x faster with testup.io!
Modifications and maintenance are 14.6x faster!

Any IT application requires testing before a successful Go-Live. The automation of these tasks allows the inexpensive repetition and continuous monitoring of functionalities and has become commonplace. It is an integral part of modern Continuous Integration and Continuous Delivery (CI/CD). As costs for implementation and adaptation are the driving factors in deciding whether to automate testing, this will be the focus of this paper. By hiring 12 test automation professionals where each of them has the same task but uses their respective favourite tool, we can benchmark these tools. Assuming that all tools find the correct issues, we will evaluate the tools based on the time it takes to create and adapt tests.