Juan Carlos Sánchez Mirabal
Werfen (Spain)
AI: A new era for all, including SW test
The integration of Artificial Intelligence (AI) into the software testing process has opened up new possibilities and has changed the traditional role of software testing. In the past, software testing was mostly a manual process, where testers would have to manually test different scenarios and report bugs. However, with the advancement of AI, software testing is now more efficient and effective. AI has the potential to revolutionize the software testing industry and change the way that testing is performed. However, it’s important to note that AI algorithms are only as effective as the data they are trained on and the algorithms used. As such, testers will still play a critical role in ensuring the quality and accuracy of software, even as AI becomes increasingly prevalent in the testing process. What to do next? How the new rules affect our roles?
I began my career as a software developer in the banking industry, but after a year, I transitioned to the embedded world. I spent five years at Hewlett Packard developing software for large format printers. 25 years ago, I joined Werfen in the area of embedded and in vitro diagnostics, where I played various roles over the years, including Test Engineer, Test Leader, Test Manager, SW Project Manager, and SW Manager. During this time, I transitioned from using the Unified Process to Scrum for medical devices and led teams that were geographically distributed. Throughout all of these roles, I always prioritized quality, especially during development activities.