What you will learn
- Why testing is necessarily risk-based, and the key risk factors to consider when you cannot test “everything”
- How cognitive biases, left unchecked, can undermine testing’s ability to evaluate risk, focusing on areas where critical bugs are less likely to occur
- How you can mitigate the risk of cognitive biases in your testing, and why these solutions must emphasise people alongside new processes and technology
- 1 Hour
- Includes 20mins Discussion
Check out this video from Full Name to hear more about his talk, ‘Speaker’s Talk Title’.
We look forward to welcoming you to EuroSTAR 2024.
Lead Solutions Engineer – Curiosity Software, USA
Before spending the past 10+ years pioneering testing techniques and tools, Benjamin studied economics at the world-leading London School of Economics. He focused on behavioral economics and econometrics, questioning how unconscious biases and economic structures influence behavior. Benjamin has since applied these insights to become a better tester, seeking to understand how unconscious biases can mislead the critical thinking that lies at the heart of testing.
Benjamin has applied this introspective mindset to his work as a tester at both start-ups and multinationals. He has helped shape testing techniques at global banks, retailers, insurance companies, telcos and beyond. He has occupied many of the roles associated with “quality”, including developer, product manager, automation engineer and tester. Benjamin’s work has often gravitated towards model-based testing and test data management. He has most recently focused on applications of Generative AI to testing, both as a product manager and delivery specialist of AI-driven tools.
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