Marcel Veselka

It's time for the next evolution: Autonomous Testing. In my talk, I will explore our current position in this journey and the promising future that lies ahead. Traditional testing methods struggle to keep pace with today's rapid development cycles and are challenging to scale. While we once believed test automation would be the ultimate solution, it hasn't fully lived up to expectations. Despite widespread adoption, testing remains slow and difficult to scale, with over 70% of automation activities still being handled manually, such as scripting and maintenance.

Is there a better way forward? Could Autonomous Testing be the answer? Emerging trends suggest so. According to Gartner, Autonomous Testing, now referred to as AI-Augmented Testing, is at the forefront of innovation in the Agile and DevOps Hype Cycle, with widespread adoption predicted in the next 2-5 years.

The market's expectations are high, with many viewing Autonomous Testing as the next major step in software testing evolution. Many test automation tools already feature AI-driven capabilities, albeit in their early stages. In my presentation, I will provide an overview of these AI-based features and discuss the direction in which vendors are moving with these solutions.

However, embracing Autonomous Testing isn’t just about selecting the right tools. It requires a shift in testing strategy. I will offer practical advice on how to develop and implement an autonomous testing strategy that integrates seamlessly with your current processes. I'll share insights on where Autonomous Testing excels, where it may not be suitable, how to combine it with traditional methods, and how to prepare for the future—based on our extensive research and real-world experience.

Key Takeaways
- A comprehensive overview of Autonomous Testing
- Understanding the current capabilities of testing bots (what they can and cannot do)
- Practical steps to introduce Autonomous Testing in your organization