AI testers accelerate on waves of digital explosion

With the explosive development of the digital world, it is essential that software and applications reach users quickly and without errors. Customers expect a high level of user experience, and errors, slowness or any other software-related problem can cause significant damage to companies. István Homoki, Head of QA and Automation Team at United Consult, at the 2024 IT Festen AI Copilot talked about the solution in his presentation together with Tricentis.

Artificial intelligence is already a buzzword for many, as many people use the benefits of generative AI on a daily basis. This is no different in testing, as it can automate repetitive tasks, recognize patterns, and predict potential problems, helping testers focus on more complex testing tasks instead of routine operations.

The role of AI in software testing

Testing is an essential part of the development lifecycle because it ensures that the software complies with defined quality requirements. By testing, we can also reduce the risk that the released software — that is, the software that has already been released and available in real time — may not work as intended.

The combination of machine learning, deep learning and generative AI is becoming more common in test automation processes, which not only increases speed and efficiency, but also greatly increases success rate. This is because machine learning helps identify test anomalies, deep learning improves the coverage and depth of tests, and generative artificial intelligence helps automate the creation of test cases. By combining them, we can achieve faster and more reliable software development cycles and better software quality.

“Artificial intelligence gives testers a new perspective, it can help automate test design and execution, reducing the time and effort required. AI is able to identify errors in software code, even those ignored by human testers,” István Homoki shared his experience with the IT Fest audience.

The AI copilots

AI can quickly and accurately analyze large amounts of data, identify patterns and anomalies, and provide insights that can help the testing process. AI can automate repetitive tasks, reducing human workload and error opportunities, making the testing process more efficient and effective, all of which contributes to better software quality and reduced development time. Tricentis introduced its copilot solution in the first half of 2024, which greatly helps quality assurance and supports developers in improving productivity and quality. AI automatically identifies errors and optimizes testing processes, reducing human error and working time, making development cycles more efficient.

^{Left: Michael Weiss, Director Strategic Alliances ALPS & EE - Tricentis
Right: István Homoki, Head of Quality Assurance and Automation - United Consult}

Tricentis is known as a global player in quality assurance and has further strengthened its position by integrating AI technologies. Their products combine machine learning, deep learning, and generative AI to support QA professionals and developers in improving productivity as well as quality. In partnership with our company, United Consult, their goal is to spread generative AI-based testing as widely as possible in Central Europe.

Tricentis Copilot AI-powered intelligent assistants help QA and development teams test applications, processes and data more efficiently. They help create test cases, optimize testing, provide complex reports, and provide expertise and guidance throughout the testing lifecycle.

“Each Tricentis Copilot has unique learning capabilities that are tailored to the specific product. As time goes on, more capabilities are added, continuously expanding functionality and improving user experience to meet customers' expanding testing needs,” added the head of our QA team.

Benefits of AI-powered automated testing

1. Faster debugging and repair: AI quickly identifies bugs and suggests fixes, reducing debugging and repair time.

2. Higher testing coverage: AI is capable of creating and executing complex test cases, ensuring that we can test all aspects of software requirements.

3. Cost reduction: Automated testing reduces manual labor, thereby also reducing costs, and reduces operating costs through quality improvement.

4. Better user experience: Thorough testing ensures that end users have a fault-free and seamless experience.

The future of AI in testing

The integration of AI and testing is no longer just an alternative vision, it is very much the present! The process has begun, and AI technologies continue to evolve and are expected to play an increasingly dominant role in software development and testing processes. The spread of AI-based testing solutions is getting faster and faster, so companies need to keep up with this development in order to stay competitive. Learn the benefits of AI test automation with our team by clicking here!

“It is not AI that will circumvent human experts, but other human experts who use AI”— emphasized our colleague at the IT Fest. It has been said that AI copilot is a great tool in test automation, however, it is always essential to have an expert who can effectively apply its potential. Without a pilot, AI cannot achieve optimal results on its own, this requires perfect collaboration: Tricentis provides the copilot, while United Consult gives the “pilot” to their customers.

Author: Pál Dorina - United Consult