Joel Oliveira

Head of QA

Join my presentation on: Testing Efficiency in the age of AI: Why traditional metrics are lying to you

AI has made code cheap, fast, and abundant. Testing has not followed the same curve. In an AI-driven software development process, traditional testing metrics quickly lose meaning and can even create false confidence. 

Read More

Watch The Presentation

Enjoyed This Presentation?
Download it now.

Download Joel Oliveira’s presentation
by clicking the link below

Download Presentation

Who is Joel Oliveira?

Joel Oliveira’s career has been a thrilling journey through the exciting world of software development. With over two decades of experience, he has tackled a variety of roles, including developer, tester, technical and project manager, quality and engineering manager, and everything in between. Throughout his career, Joel has led teams of engineers in a diverse range of industries, from telecommunications and government to finance, defence, and aerospace.

Driven by his dedication to improving the recognition and proficiency of the testing community, Joel founded the first online testing community in Portugal in 2009 and went on to establish the PSTQB – Portuguese Software Testing and Qualifications Board the following year. His expertise in the field has earned him a place in the ISTQB working groups since 2011.

As a mentor, Joel finds joy in sharing his experiences and knowledge with others. You can often find him giving talks and workshops on a variety of topics, including software testing (manual, exploratory, automation, mobile, performance, security), engineering processes (waterfall, agile, continuous improvement, and CMMI), and career management (for testers and beyond).

Currently, Joel holds several positions as Head of Quality Assurance at Celfocus, Governance Chair at ISTQB and General Assembly President at PSTQB.

What will Joel Oliveira be discussing?

Testing Efficiency in the age of AI: Why traditional metrics are lying to you

AI has made code cheap, fast, and abundant. Testing has not followed the same curve. In an AI-driven software development process, traditional testing metrics quickly lose meaning and can even create false confidence.

This talk explores how testing efficiency should be measured when vibe coding and vibe testing become common, shifting the focus from activity and coverage to value, signal, and decision impact.