6th December 2023
05:00 PM - 07:00 PM MST
Artificial Intelligence is transforming the way we test software, raising an important question: which QA processes should we keep, adapt, replace, or abandon?
Through real-world examples and practical scenarios, this talk explores how QA practices can evolve with AI, considering its risks and opportunities and the importance of validation, evidence, and critical thinking.
Rather than advocating for the adoption or rejection of AI, this session encourages a conscious approach to evolving QA processes, maintaining a focus on risk identification, reliable evidence, and confidence in release decisions.
• The impact of AI on existing QA practices and processes.
• Which QA processes we should keep, adapt, replace, or abandon.
• The role of standards, evidence, and accountability in QA.
• How to evolve QA practices without compromising software quality.
Bárbara Abreu is a Senior QA professional with over 10 years of experience in Quality Assurance. With a technical qualification in Industrial Informatics from CEFET-MG and a degree in Information Systems from PUC-MG, she has worked on projects involving different systems and technologies, performing functional QA activities and participating in various stages of the Software Development Life Cycle (SDLC), from requirements analysis to the validation of developed solutions.
Her experience covers different types of testing, including functional, integration, regression, backend, API, database, frontend, end-to-end (E2E), user acceptance (UAT), and smoke testing. This diversity has enabled her to develop a comprehensive understanding of the challenges of software quality, risk identification, and the importance of validating application behavior in different contexts.
Interested in the evolution of QA practices, she follows the impact of Artificial Intelligence on software quality, exploring ways to balance efficiency, critical thinking, and human validation.
With AI, generating test cases, automation scripts, and reports has become faster than ever. Dashboards turn green, coverage goes up, and the number of tests keeps growing. But does that really mean better quality?
In this talk, we start from a feeling every QA professional knows well: watching all the tests pass and still having doubts. We’ll discuss why numbers that look great can hide risks, what AI does well and where it still needs to improve, and why QA judgment — knowing what to test, where to test, and what nobody thought to ask — becomes even more valuable when everyone has an AI agent.
Through practical examples, this talk shows how to turn doubt into a skill and use AI intentionally.
• All tests passed: why pass rate, coverage, and test volume can be misleading, especially with AI.
• AI writes a thousand tests, but who decides which ones matter? QA judgment as a differentiator.
• From uncertainty to action: how to start using AI intentionally in everyday QA work.
Aline Souza is a Senior QA Engineer with over 8 years of international experience. Currently working at Kuehne + Nagel, she handles highly complex projects, connecting quality, risk, and business value through test strategy and automation.
She aims to foster a strong quality culture within agile teams, with an emphasis on collaboration and communication.
Aline understands the challenges of being a woman in tech, having been the first woman to graduate from the Bachelor’s program in Computer Science at UFRPE-UAG. She also holds a postgraduate specialization in Software Engineering from UFPE and an ISTQB CTFL certification.
She is committed to positioning quality as a strategic business differentiator and is active in the QA community, sharing knowledge and her professional journey in the field.
With a career dedicated to Quality Assurance since 2008, Hugo Manaia has built extensive expertise across industry leaders such as PT Inovação, Critical Software, Mindera, and Creativesystems. Throughout his journey in Telecommunications, Banking, Betting, and Retail, he has developed a versatile profile with a strong focus on API testing and system analysis, before diving into the complex challenges of the crypto ecosystem. Currently a Senior Quality Assurance Analyst at Uphold, he focuses on ensuring the resilience of systems where security and data integrity are critical.
Artificial intelligence is increasingly present in the world of software testing automating tasks, generating tests, and accelerating processes. But how far can it really go? In this talk, we will explore the benefits and risks of using AI in the QA field, discussing why socio-emotional and distinctly human skills remain essential, even in an increasingly automated landscape. A practical and timely reflection on our role in the future of quality.
• How AI is transforming software testing
• Tools and real-world examples of AI-driven automation
• The risks and limitations of relying solely on artificial intelligence
• The importance of socio-emotional skills in QA
• Why empathy, creativity, and critical thinking remain irreplaceable
• The future of QA professionals: technology with consciousness
• Practical reflections on collaboration between humans and AI
With a background in engineering and 12 years in the testing field, Pedro has worked in technology for 27 years across various sectors including television, finance, e-commerce, betting, and currently in1 insurance. Enthusiastic about the financial world, cooking, and outdoor activities — when he’s unreachable, he’s either cycling or at sea.
Artificial intelligence is increasingly present in the world of software testing automating tasks, generating tests, and accelerating processes. But how far can it really go? In this talk, we will explore the benefits and risks of using AI in the QA field, discussing why socio-emotional and distinctly human skills remain essential, even in an increasingly automated landscape. A practical and timely reflection on our role in the future of quality.
• How AI is transforming software testing
• Tools and real-world examples of AI-driven automation
• The risks and limitations of relying solely on artificial intelligence
• The importance of socio-emotional skills in QA
• Why empathy, creativity, and critical thinking remain irreplaceable
• The future of QA professionals: technology with consciousness
• Practical reflections on collaboration between humans and AI
With around 10 years of experience as a Nurse (with specialization in Maternal Health), Magda transitioned to IT in 2023 — first as an implementation consultant and currently as a QA. She is the founder and former president of a Toastmasters club, participates in Batucada Radical, works as a promoter/hostess at events, and has a special interest in travel, new cultures, and financial literacy.
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